AAMAS 2025 (Detroit, USA)

ISBN: 979-8-4007-1426-9

These are the proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2025). They are published by the International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

Copyright © 2025 by International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). Permission to make digital or hard copies of portions of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyright for components of this work owned by others than IFAAMAS must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.

Sections

Responsible AI and Autonomous Agents: Governance, Ethics, and Sustainable Innovation
Virginia Dignum (AI Policy Lab, Umeå University)
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The Agent Paradox: Can Multi-Agent Systems Replicate the Complexity of Human Cognition and Social Behavior?
Rada Mihalcea (University of Michigan)
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Multiagent Systems, and the Search for Appropriate Foundations: A Personal Journey and Retrospective
Jeffrey S. Rosenschein (The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem)
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Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation
Amir Abolfazli (L3S Research Center), Zekun Song (Technical University of Berlin), Avishek Anand (Delft University of Technology), Wolfgang Nejdl (L3S Research Center)
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Who Reviews The Reviewers? A Multi-Level Jury Problem
Ben Abramowitz (Tulane University), Omer Lev (Ben-Gurion University of the Negev), Nicholas Mattei (Tulane University)
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An Improved Mechanism for Pricing Ride-Hailing Fares
Marek Adamczyk (Institute of Informatics, University of Wroclaw), Maurycy Borkowski (Institute of Informatics, University of Wroclaw), Michal Pawlowski (University of Warsaw & Sapienza University of Rome)
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EFX Allocations and Orientations on Bipartite Multi-graphs: A Complete Picture
Mahyar Afshinmehr (Sharif University of Technology), Alireza Danaei (Sharif University of Technology), Mehrafarin Kazemi (Sharif University of Technology), Kurt Mehlhorn (Max Planck Institute for Informatics, Saarland Informatics Campus), Nidhi Rathi (Max Planck Institute for Informatics, Saarland Informatics Campus)
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Harmonious Balanced Partitioning of a Network of Agents
Pulkit Agarwal (Indian Institute of Technology Bombay), Harshvardhan Agarwal (Indian Institute of Technology Bombay), Vaibhav Raj (Indian Institute of Technology Bombay), Swaprava Nath (Indian Institute of Technology Bombay)
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SCMRAG: Self-Corrective Multihop Retrieval Augmented Generation System for LLM Agents
Rishabh Agrawal (University of Western Ontario), Murtaza Asrani (University of Western Ontario), Hadi Youssef (University of Western Ontario), Apurva Narayan (University of Western Ontario)
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Investigating the Perspective of Non-Native Speakers on Foreigner-Directed Speech using Virtual Agents: The Role of Racial Ingroup Affiliation and Language Proficiency on Perception and Comprehension
Ohenewa Bediako Akuffo (Socially Interactive Agents, University of Würzburg), Birgit Lugrin (Socially Interactive Agents, University of Würzburg)
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Impact Measures for Gradual Argumentation Semantics
Caren Al Anaissy (CRIL, Univ. Artois CNRS & LIP6, Sorbonne University), Jérôme Delobelle (Université Paris Cité, LIPADE, F-75006), Srdjan Vesic (CRIL CNRS Univ. Artois), Bruno Yun (Universite Claude Bernard Lyon 1, CNRS, Ecole Centrale de Lyon, INSA Lyon, Université Lumière Lyon 2, LIRIS, UMR5205, 69622)
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Approximation Ratio for Preference Aggregation Using Tree CP-Nets
Abu Mohammad Hammad Ali (University of Regina), Daniel Ogundare (University of Regina), Boting Yang (University of Regina), Sandra Zilles (University of Regina and Amii)
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Geometric Freeze-Tag Problem
Sharareh Alipour (Tehran Institute for Advanced Studies, Khatam University), Kajal Baghestani (Sharif University of Technology), Mahdis Mirzaei (University of Tehran), Soroush Sahraei (University of Tehran)
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Robin Hood Reachability Bidding Games
Shaull Almagor (Technion), Guy Avni (University of Haifa), Neta Dafni (Technion)
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A Hypothesis-Driven Approach to Explainable Goal Recognition
Abeer Alshehri (University of Melbourne & King Khalid University), Hissah Alotaibi (Jazan University), Tim Miller (University of Queensland), Mor Vered (Monash University)
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Algorithmically Fair Maximization of Multiple Submodular Objective Functions
Georgios Amanatidis (Athens University of Economics and Business Archimedes / Athena RC), Georgios Birmpas (University of Liverpool), Philip Lazos (Jump Trading), Stefano Leonardi (Sapienza University of Rome), Rebecca Reiffenhäuser (University of Amsterdam)
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Truthful and Welfare-maximizing Resource Scheduling with Application to Electric Vehicles
Ramsundar Anandanarayanan (Indian Institute of Technology Bombay), Swaprava Nath (Indian Institute of Technology Bombay), Prasant Misra (Tata Consultancy Services Limited)
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Model and Mechanisms of Consent for Responsible Autonomy
Anastasia S. Apeiron (Utrecht University), Davide Dell'Anna (Utrecht University), Pradeep K. Murukannaiah (Delft University of Technology), Pinar Yolum (Utrecht University)
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FORM: Learning Expressive and Transferable First-Order Logic Reward Machines
Leo Ardon (Imperial College London), Daniel Furelos-Blanco (Imperial College London), Roko Parac (Imperial College London), Alessandra Russo (Imperial College London)
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Probably Correct Optimal Stable Matching for Two-Sided Market Under Uncertainty
Andreas Athanasopoulos (University of Neuchâtel), Anne-Marie George (University of Oslo), Christos Dimitrakakis (University of Neuchâtel)
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Bidding Games on Markov Decision Processes with Quantitative Reachability Objectives
Guy Avni (University of Haifa), Martin Kurecka (Masaryk University), Kaushik Mallik (IMDEA Software Institute), Petr Novotný (Masaryk University), Suman Sadhukhan (University of Haifa)
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Fair Allocation of Divisible Goods under Non-Linear Valuations
Haris Aziz (UNSW Sydney), Zixu He (UNSW Sydney), Xinhang Lu (UNSW Sydney), Kaiyang Zhou (UNSW Sydney)
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Condorcet Winners and Anscombe's Paradox Under Weighted Binary Voting
Carmel Baharav (ETH Zürich), Andrei Constantinescu (ETH Zürich), Roger Wattenhofer (ETH Zürich)
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Local Topological Information as a Powerful Enhancer for Generalizable Neural Method in Travelling Salesman Problem
Xiaoxin Bai (School of Computer Science and Engineering, Southeast University), JunYang Yang (School of Cyber Science and Engineering, Southeast University), Shengchao Yuan (School of Computer Science and Engineering, Southeast University), Yinghao Zhang (School of Electronics and Information Engineering, South China University of Technology), Hanqian wu (School of Cyber Science and Engineering, Southeast University)
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On the Gale-Shapley Algorithm for Stable Matchings with a Partial Honesty Nash Refinement
James P. Bailey (Rensselaer Polytechnic Institute), Craig A. Tovey (Georgia Institute of Technology)
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The Price of Anarchy in Spatial Social Choice
James P. Bailey (Rensselaer Polytechnic Institute), Craig A. Tovey (Georgia Institute of Technology)
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Alternating-time Temporal Logic with Stochastic Abilities
Gabriel Ballot (SEIDO Lab, EDF R&D and Télécom Paris, Institut Polytechnique de Paris), Vadim Malvone (LTCI, Télécom Paris, Institut Polytechnique de Paris), Jean Leneutre (LTCI, Télécom Paris, Institut Polytechnique de Paris), Jingxuan Ma (SEIDO Lab, EDF R&D), Mourad Leslous (SEIDO Lab, EDF R&D)
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An AI-Driven Card Playing Robot: An Empirical Study on Communicative Style and Embodiment with Elderly Adults
Michael Banck (AI and Knowledge Systems, University of Würzburg), Elisabeth Ganal (Socially Interactive Agents, University of Würzburg), Hanna-Finja Weichert (Socially Interactive Agents, University of Würzburg), Frank Puppe (AI and Knowledge Systems, University of Würzburg), Birgit Lugrin (Socially Interactive Agents, University of Würzburg)
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On the Complexity of Learning to Cooperate in Populations of Socially Rational Agents
Saptarashmi Bandyopadhyay (Department of Computer Science, University of Maryland), Mustafa Mert Çelikok (Department of Intelligent Systems, Delft University of Technology), Robert Loftin (Department of Computer Science, University of Sheffield)
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Beyond Words: Integrating Personality Traits and Context-Driven Gestures in Human-Robot Interactions
Tahsin Tariq Banna (Robotics & Mechatronics Engineering, University of Dhaka), Sejuti Rahman (Robotics & Mechatronics Engineering, University of Dhaka), Mohammad Tareq (Accounting & Information Systems, University of Dhaka)
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Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies
Kexin Gu Baugh (Imperial College London), Luke Dickens (University College London), Alessandra Russo (Imperial College London)
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Sea-cret Agents: Maritime Abduction for Region Generation to Expose Dark Vessel Trajectories
Divyagna Bavikadi (Arizona State University), Nathaniel Lee (Arizona State University), Paulo Shakarian (Arizona State University), Chad Parvis (EpochGeo)
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Opinion Dynamics with Median Aggregation
Petra Berenbrink (University of Hamburg), Martin Hoefer (RWTH Aachen University), Dominik Kaaser (TU Hamburg), Marten Maack (University of Hamburg), Malin Rau (Chalmers University of Technology), Lisa Wilhelmi (RWTH Aachen University)
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Speed vs Accuracy in Goal Recognition for Time-Sensitive Applications: A Game-Theoretic Approach
Sara Bernardini (University of Oxford), Fabio Fagnani (Politecnico di Torino), Santiago Franco (Royal Holloway University of London)
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To Spend or to Gain: Online Learning in Repeated Karma Auctions
Damien Berriaud (ETH Zürich), Ezzat Elokda (ETH Zürich), Devansh Jalota (Stanford University), Emilio Frazzoli (ETH Zürich), Marco Pavone (Stanford University), Florian Dörfler (ETH Zürich)
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Towards Envy-Freeness Relaxations for General Nonmonotone Valuations
Umang Bhaskar (Tata Institute of Fundamental Research), Gunjan Kumar (Indian Institute of Technology Kanpur), Yeshwant Pandit (Tata Institute of Fundamental Research), Rakshitha (Indian Institute of Technology Delhi)
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Maximizing Value in Challenge the Champ Tournaments
Umang Bhaskar (Tata Institute of Fundamental Research), Juhi Chaudhary (Tata Institute of Fundamental Research), Palash Dey (IIT Kharagpur)
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Agent-based Modeling and Simulation of Ambiguity in Catastrophe Insurance Markets
Yu Bi (King's College London), Lingxiao Zhao (King's College London), Jinyun Tong (King's College London), Zhe Feng (Ki Insurance), Carmine Ventre (King's College London)
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Equilibrium Analysis in Markets with Asymmetric Utility Functions
Martin Bichler (Technical University of Munich), Markus Ewert (Technical University of Munich), Axel Ockenfels (University of Cologne & Max Planck Institute for Research on Collective Goods)
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Temporal Network Creation Games: The Impact of Non-Locality and Terminals
Davide Bilò (University of L'Aquila), Sarel Cohen (Hasso Plattner Institute), Tobias Friedrich (Hasso Plattner Institute), Hans Gawendowicz (Hasso Plattner Institute), Nicolas Klodt (Hasso Plattner Institute), Pascal Lenzner (University of Augsburg), George Skretas (Hasso Plattner Institute)
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Minimizing Rosenthal's Potential in Monotone Congestion Games
Vittorio Bilò (University of Salento), Angelo Fanelli (Université Paris-Dauphine, Université PSL, CNRS, LAMSADE), Laurent Gourvès (Université Paris-Dauphine, Université PSL, CNRS, LAMSADE), Christos Tsoufis (Université Paris-Dauphine, Université PSL, CNRS, LAMSADE), Cosimo Vinci (University of Salento)
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Synergistic Traffic Assignment
Thomas Bläsius (Karlsruhe Institute of Technology), Adrian Feilhauer (Karlsruhe Institute of Technology), Markus Jung (Karlsruhe Institute of Technology), Moritz Laupichler (Karlsruhe Institute of Technology), Peter Sanders (Karlsruhe Institute of Technology), Michael Zündorf (Karlsruhe Institute of Technology)
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EnEnv 1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning Benchmarking
Dominik Jacek Bogucki (Institute of Fundamental Technological Research, Polish Academy of Sciences & IDEAS NCBR), Lukasz Lepak (Institute of Computer Science, Warsaw University of Technology), Sonam Parashar (IDEAS NCBR), Bartlomiej Blachowski (Institute of Fundamental Technological Research, Polish Academy of Sciences), Pawel Wawrzynski (IDEAS NCBR)
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Monte Carlo Tree Search with Velocity Obstacles for Safe and Efficient Motion Planning in Dynamic Environments
Lorenzo Bonanni (University of Verona), Daniele Meli (University of Verona), Alberto Castellini (University of Verona), Alessandro Farinelli (University of Verona)
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Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring
Gusseppe Bravo-Rocca (Barcelona Supercomputing Center), Peini Liu (Barcelona Supercomputing Center), Jordi Guitart (Barcelona Supercomputing Center & Universitat Politècnica de Catalunya), Rodrigo M. Carrillo-Larco (Emory University), Ajay Dholakia (Lenovo Infrastructure Solutions), David Ellison (Lenovo Infrastructure Solutions)
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Computing Efficient Envy-Free Partial Allocations of Indivisible Goods
Robert Bredereck (Institut für Informatik, TU Clausthal), Andrzej Kaczmarczyk (Department of Computer Science, The University of Chicago), Junjie Luo (School of Mathematics and Statistics, Beijing Jiaotong University), Bin Sun (Institut für Informatik, TU Clausthal)
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Compositional Shielding and Reinforcement Learning for Multi-Agent Systems
Asger Horn Brorholt (Aalborg University), Kim Guldstrand Larsen (Aalborg University), Christian Schilling (Aalborg University)
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Scalable Offline Reinforcement Learning for Mean Field Games
Axel Brunnbauer (TU Wien & DatenVorsprung GmbH), Julian Lemmel (TU Wien & DatenVorsprung GmbH), Zahra Babaiee (TU Wien & DatenVorsprung GmbH), Sophie A. Neubauer (DatenVorsprung GmbH), Radu Grosu (TU Wien)
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Welfare Approximation in Additively Separable Hedonic Games
Martin Bullinger (University of Oxford), Vaggos Chatziafratis (University of California, Santa Cruz), Parnian Shahkar (University of California, Irvine)
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Towards Fair and Efficient Public Transportation: A Bus Stop Model
Martin Bullinger (University of Oxford), Edith Elkind (Northwestern University), Mohamad Latifian (University of Edinburgh)
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Who Am I Dealing With? Explaining the Designer's Hidden Intentions
Turgay Caglar (Colorado State University), Sarath Sreedharan (Colorado State University), Mor Vered (Monash University)
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Emit As You Go: Enumerating Edges of a Spanning Tree
Katrin Casel (Humboldt Universität Berlin), Stefan Neubert (Hasso Plattner Institute, University of Potsdam)
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On the Fairness of Additive Welfarist Rules
Karen Frilya Celine (National University of Singapore), Warut Suksompong (National University of Singapore), Sheung Man Yuen (National University of Singapore)
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Game-Theoretically Secure Distributed Protocols for Fair Allocation in Coalitional Games
T-H. Hubert Chan (The University of Hong Kong), Qipeng Kuang (The University of Hong Kong), Quan Xue (The University of Hong Kong)
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Fair Division in a Variable Setting
Harish Chandramouleeswaran (Chennai Mathematical Institute), Prajakta Nimbhorkar (Chennai Mathematical Institute), Nidhi Rathi (Max Planck Institute for Informatics, SIC)
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Human-Agent Coordination in Games under Incomplete Information via Multi-Step Intent
Shenghui Chen (The University of Texas at Austin), Ruihan Zhao (The University of Texas at Austin), Sandeep Chinchali (The University of Texas at Austin), Ufuk Topcu (The University of Texas at Austin)
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Azorus: Commitments over Protocols for BDI Agents
Amit K. Chopra (Lancaster University), Matteo Baldoni (Università degli Studi di Torino), Samuel H. Christie (North Carolina State University), Munindar P. Singh (North Carolina State University)
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On the Limits of Agency in Agent-based Models
Ayush Chopra (Massachusetts Institute of Technology), Shashank Kumar (Massachusetts Institute of Technology), Nurullah Giray Kuru (Massachusetts Institute of Technology), Ramesh Raskar (Massachusetts Institute of Technology), Arnau Quera-Bofarull (University of Oxford)
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Computing Efficient and Envy-Free Allocations under Dichotomous Preferences using SAT
Ari Conati (University of Helsinki), Andreas Niskanen (University of Helsinki), Ronald de Haan (University of Amsterdam), Matti Järvisalo (University of Helsinki)
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Byzantine Game Theory: Sun Tzu's Boxes
Andrei Constantinescu (ETH Zürich), Roger Wattenhofer (ETH Zürich)
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Selfish Behavior and Resource Competition in Multi-Agent Systems
Costas Courcoubetis (Chinese University of Hong Kong), Antonis Dimakis (Athens University of Economics and Business)
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Approximation Algorithms for Connected Maximum Coverage
Gianlorenzo D'Angelo (Gran Sasso Science Institute (GSSI), Esmaeil Delfaraz (University of L’Aquila)
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Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health
Arpan Dasgupta (Google DeepMind), Gagan Jain (Google DeepMind), Arun Suggala (Google DeepMind), Karthikeyan Shanmugam (Google Deepmind), Milind Tambe (Harvard University & Google DeepMind), Aparna Taneja (Google DeepMind)
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Greedy ABA Learning for Case-Based Reasoning
Emanuele De Angelis (IASI-CNR), Maurizio Proietti (IASI-CNR), Francesca Toni (Imperial)
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More Efficient Sybil Detection Mechanisms Leveraging Resistance of Users to Attack Requests
Ali Safarpoor Dehkordi (Australian National University), Ahad N. Zehmakan (Australian National University)
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Composing Reinforcement Learning Policies, with Formal Guarantees
Florent Delgrange (Vrije Universiteit Brussel), Guy Avni (University of Haifa), Anna Lukina (TU Delft), Christian Schilling (Aalborg University), Ann Nowé (Vrije Universiteit Brussel), Guillermo A. Pérez (University of Antwerp)
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Parameterized Algorithms for Multiagent Pathfinding on Trees
Argyrios Deligkas (Royal Holloway, University of London), Eduard Eiben (Royal Holloway, University of London), Robert Ganian (TU Wien), Iyad Kanj (DePaul University), M. S. Ramanujan (University of Warwick)
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From Natural Language to Extensive-Form Game Representations
Shilong Deng (University of Liverpool), Yongzhao Wang (The Alan Turing Institute & University of Liverpool), Rahul Savani (The Alan Turing Institute & University of Liverpool)
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Safe Pareto Improvements for Expected Utility Maximizers in Program Games
Anthony DiGiovanni (Center on Long-Term Risk), Jesse Clifton (Center on Long-Term Risk), Nicolas Macé (Center on Long-Term Risk)
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Hitchhiker's Guide to Patrolling: Path-Finding for Energy-Sharing Drone-UGV Teams
Jonathan Diller (Colorado School of Mines), Qi Han (Colorado School of Mines), Robert Byers (Colorado School of Mines), James Dotterweich (DEVCOM Army Research Laboratory), James Humann (DEVCOM Army Research Laboratory)
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Learning Graph Representation of Agent Diffusers
Youcef Djenouri (University South-Easter Norway & Norwegian Research Centre), Nassim Belmecheri (Simula Research Laboratory), Tomasz Michalak (University of Warsaw), Jan Dubinski (IDEAS NCBR), Ahmed Nabil Belbachir (Norwegian Research Centre), Anis Yazidi (University of Oslo)
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Selecting Interlacing Committees
Chris Dong (Technical University of Munich), Martin Bullinger (University of Oxford), Tomasz Was (University of Oxford), Larry Birnbaum (Northwestern University), Edith Elkind (Northwestern University)
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Simulating and Evaluating Generative Modeling and Collaborative Filtering in Complex Social Networks
Wen Dong (Air Force Research Laboratory), Fairul Mohd-Zaid (Air Force Research Laboratory)
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Fast UCB-type Algorithms for Stochastic Bandits with Heavy and Super Heavy Symmetric Noise
Yuriy Dorn (MSU Institute for Artificial Intelligence, Moscow Institute of Physics and Technology), Aleksandr Katrutsa (Skoltech, AIRI), Ilgam Latypov (MSU Institute for Artificial Intelligence, Moscow Institute of Physics and Technology), Andrey Pudovikov (MSU Institute for Artificial Intelligence)
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Why Instant-Runoff Voting Is So Resilient to Coalitional Manipulation: Phase Transitions in the Perturbed Culture
François Durand (Nokia Bell Labs France)
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Boosting Sortition via Proportional Representation
Soroush Ebadian (University of Toronto), Evi Micha (University of Southern California)
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Temporal Fair Division of Indivisible Items
Edith Elkind (Northwestern University), Alexander Lam (Hong Kong Polytechnic University), Mohamad Latifian (University of Edinburgh), Tzeh Yuan Neoh (IHPC, CFAR, A*STAR), Nicholas Teh (University of Oxford)
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A Simple Integration of Epistemic Logic and Reinforcement Learning
Thorsten Engesser (TU Wien), Thibaut Le Marre (ENS Rennes, ENS de Lyon, CNRS, Université Claude Bernard Lyon 1, Inria, LIP, UMR 5668), Emiliano Lorini (IRIT, CNRS, Toulouse University), François Schwarzentruber (ENS de Lyon, CNRS, Université Claude Bernard Lyon 1, Inria, LIP, UMR 5668), Bruno Zanuttini (Université Caen Normandie, ENSICAEN, CNRS, Normandie Univ, GREYC UMR6072)
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Mitigating Value Conflicts with Computational Theory of Mind
Emre Erdogan (Utrecht University), Hüseyin Aydin (Utrecht University & Middle East Technical University), Frank Dignum (Umeå University), Rineke Verbrugge (University of Groningen), Pinar Yolum (Utrecht University)
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Learning Real-Life Approval Elections
Piotr Faliszewski (AGH University), Lukasz Janeczko (AGH University), Andrzej Kaczmarczyk (Department of Computer Science, The University of Chicago), Marcin Kurdziel (AGH University), Grzegorz Pierczynski (AGH University), Stanislaw Szufa (CNRS, LAMSADE, Université Paris Dauphine – PSL)
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FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF
Flint Xiaofeng Fan (National University of Singapore), Cheston Tan (CFAR, A*STAR), Yew-Soon Ong (CFAR, A*STAR), Roger Wattenhofer (ETH Zurich), Wei-Tsang Ooi (National University of Singapore)
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Automatic Verification of Linear Integer Planning Programs via Forgetting in LIAUPF
Liangda Fang (Jinan University & Pazhou Lab), Shikang Chen (Jinan University), Xiaoman Wang (Jinan University), Xiaoyou Lin (Jinan University), Chenyi Zhang (University of Canterbury), Qingliang Chen (Jinan University), Quanlong Guan (Jinan University), Kaile Su (Yantai University)
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Consistency Policy with Categorical Critic for Autonomous Driving
Xing Fang (Institute of Automation, CASIA & School of Artificial Intelligence, UCAS), Qichao Zhang (Institute of Automation, CASIA & School of Artificial Intelligence, UCAS), Haoran Li (Institute of Automation, CASIA & School of Artificial Intelligence, UCAS), Dongbin Zhao (Institute of Automation, CASIA & School of Artificial Intelligence, UCAS)
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Translating Multi-Agent Modal Logics of Knowledge and Belief into Decidable First-Order Fragments
Qihui Feng (RWTH Aachen University), Hannah Wilk (University of Amsterdam & RWTH Aachen University), Shakil M. Khan (University of Regina), Gerhard Lakemeyer (RWTH Aachen University)
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Eliminating Majority Illusion
Foivos Fioravantes (Czech Technical University of Prague), Abhiruk Lahiri (Heinrich Heine University), Antonio Lauerbach (Julius-Maximilians-University), Lluís Sabater (Charles University), Marie Diana Sieper (Julius-Maximilians-University), Samuel Wolf (Julius-Maximilians-University)
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On the Hardness of Fair Allocation under Ternary Valuations
Zack Fitzsimmons (College of the Holy Cross), Vignesh Viswanathan (University of Massachusetts), Yair Zick (University of Massachusetts)
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Non-obvious Manipulability in Hedonic Games with Friends Appreciation Preferences
Michele Flammini (Gran Sasso Science Institute), Maria Fomenko (Gran Sasso Science Institute), Giovanna Varricchio (University of Calabria)
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Higher-Order Belief in Incomplete Information MAIDs
Jack Foxabbott (University of Oxford), Rohan Subramani (Columbia University), Francis Rhys Ward (Imperial College London)
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The Metric Distortion of Randomized Social Choice Functions: C1 Maximal Lottery Rules and Simulations
Fabian Frank (Technical University of Munich), Patrick Lederer (University of New South Wales)
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Order Symmetry: A New Fairness Criterion for Assignment Mechanisms
Rupert Freeman (University of Virginia), Geoffrey Pritchard (University of Auckland), Mark C. Wilson (University of Massachusetts)
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Learning Collusion in Episodic, Inventory-Constrained Markets
Paul Friedrich (University of Zurich, ETH AI Center), Barna Pásztor (ETH AI Center, ETH Zurich), Giorgia Ramponi (University of Zurich, ETH AI Center)
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Global Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry
Yuma Fujimoto (CyberAgent), Kaito Ariu (CyberAgent), Kenshi Abe (CyberAgent)
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Optimising Expectation with Guarantees for Window Mean Payoff in Markov Decision Processes
Pranshu Gaba (Tata Institute of Fundamental Research), Shibashis Guha (Tata Institute of Fundamental Research)
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Changing the Rules of the Game: Reasoning About Dynamic Phenomena in Multi-Agent Systems
Rustam Galimullin (University of Bergen), Maksim Gladyshev (Utrecht University), Munyque Mittelmann (University of Naples Federico II), Nima Motamed (Utrecht University)
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Fairly Allocating Goods in Parallel
Rohan Garg (Purdue University), Alexandros Psomas (Purdue University)
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Voter Model Meets Rumour Spreading: A Study of Consensus Protocols on Graphs with Agnostic Nodes
Marcelo Matheus Gauy (São Paulo State University), Anna Abramishvili (King's College London), Eduardo Colli (University of São Paulo), Tiago Madeira (University of São Paulo), Frederik Mallmann-Trenn (King's College London), Vinícius Franco Vasconcelos (University of São Paulo), David Kohan Marzagao (King's College London)
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On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression
Zichang Ge (Singapore Management University), Changyu Chen (Singapore Management University), Arunesh Sinha (Rutgers University), Pradeep Varakantham (Singapore Management University)
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MOSMAC: A Multi-agent Reinforcement Learning Benchmark on Sequential Multi-Objective Tasks
Minghong Geng (Singapore Management University), Shubham Pateria (Singapore Management University), Budhitama Subagdja (Singapore Management University), Ah-Hwee Tan (Singapore Management University)
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Certified Guidance for Planning with Deep Generative Models
Francesco Giacomarra (University of Trieste), Mehran Hosseini (King's College London), Nicola Paoletti (King’s Colledge London), Francesca Cairoli (University of Trieste)
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Predictability Awareness for Efficient and Robust Multi-Agent Coordination
Román Chiva Gil (Delft University of Technology), Daniel Jarne Ornia (University of Oxford), Khaled A. Mustafa (Delft University of Technology), Javier Alonso Mora (Delft University of Technology)
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Simplifying Imperfect Recall Games
Hugo Gimbert (LaBRI, CNRS, Université de Bordeaux), Soumyajit Paul (University of Liverpool), B. Srivathsan (Chennai Mathematical Institute, CNRS, ReLaX, IRL 2000)
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Policy Graphs and Intention: Answering 'Why' and 'How' from a Telic Perspective
Victor Gimenez-Abalos (Barcelona Supercomputing Center), Sergio Alvarez-Napagao (Universidad Politécnica de Cataluna & Barcelona Supercomputing Center), Adrián Tormos (Barcelona Supercomputing Center), Ulises Cortés (Universidad Politécnica de Cataluna & Barcelona Supercomputing Center), Javier Vázquez-Salceda (Universidad Politécnica de Cataluna)
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Approximating One-Sided and Two-Sided Nash Social Welfare With Capacities
Salil Gokhale (IIT Delhi), Harshul Sagar (IIT Delhi), Rohit Vaish (IIT Delhi), Jatin Yadav (IIT Delhi)
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Fairness and Optimality in Routing
Sreenivas Gollapudi (Google Research), Kostas Kollias (Google Research), Alkmini Sgouritsa (Athens University of Economics and Business, and Archimedes/Athena RC), Ali Kemal Sinop (Google Research)
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Extending Consensus-based Task Allocation Algorithms with Bid Intercession to Foster Mixed-Initiative
Victor Guillet (DTIS, ONERA, Université de Toulouse), Charles Lesire (DTIS, ONERA, Université de Toulouse), Gauthier Picard (DTIS, ONERA, Université de Toulouse), Christophe Grand (DTIS, ONERA, Université de Toulouse)
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On the Power of Temporal Locality on Online Routing Problems
Swapnil Guragain (Kent State University), Gokarna Sharma (Kent State University)
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Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents
Sabit Hassan (University of Pittsburgh), Hye-Young Chung (Northeastern University), Xiang Zhi Tan (Northeastern University), Malihe Alikhani (Northeastern University)
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Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics
Somnath Hazra (IIT Kharagpur), Pallab Dasgupta (Synopsys), Soumyajit Dey (IIT Kharagpur)
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Learning in Games with Progressive Hiding
Benjamin Heymann (Criteo AI Lab), Marc Lanctot (Google DeepMind)
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LTL Verification of Memoryful Neural Agents
Mehran Hosseini (King's College London), Alessio Lomuscio (Imperial College London), Nicola Paoletti (King's College London)
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Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network
Vincent Hsiao (NRC Postdoctoral Fellow, Naval Research Laboratory), Mark Roberts (Naval Research Laboratory), Laura M. Hiatt (Naval Research Laboratory), George Konidaris (Brown University), Dana S. Nau (University of Maryland)
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PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning
Kun Hu (National University of Defense Technology), Muning Wen (Shanghai Jiao Tong University), Xihuai Wang (Shanghai Jiao Tong University), Shao Zhang (Shanghai Jiao Tong University), Yiwei Shi (University of Bristol), Minne Li (Intelligent Game and Decision Lab), Minglong Li (National University of Defense Technology), Ying Wen (Shanghai Jiao Tong University)
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Truthful Mechanisms for Linear Bandit Games with Private Contexts
Yiting Hu (Singapore University of Technology and Design), Lingjie Duan (Singapore University of Technology and Design)
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CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
Chuanbo Hua (KAIST & Omelet), Federico Berto (KAIST & Omelet), Jiwoo Son (Omelet), Seunghyun Kang (Omelet), Changhyun Kwon (KAIST & Omelet), Jinkyoo Park (KAIST & Omelet)
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Human-Aligned Skill Discovery: Balancing Behaviour Exploration and Alignment
Maxence Hussonnois (A2I2, Deakin University), Thommen George Karimpanal (School of IT, Deakin University), Santu Rana (A2I2, Deakin University)
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Responsible Uplift Modeling
Lihi Idan (Texas A&M University), Ming Li (Nanjing University)
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Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction
Taher Jafferjee (Huawei R&D), Juliusz Ziomek (Oxford University), Tianpei Yang (Nanjing University), Zipeng Dai (Beijing Institute of Technology), Jianhong Wang (Bristol University), Matthew E. Taylor (University of Alberta), Kun Shao (Huawei R&D), Jun Wang (University College London), David Mguni (Queen Mary University London)
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Probabilistic Timed ATL
Wojciech Jamroga (Institute of Computer Science, Polish Academy of Sciences & SnT, University of Luxembourg), Marta Kwiatkowska (Institute of Computer Science, PAS & Department of Computer Science, University of Oxford), Wojciech Penczek (Institute of Computer Science, Polish Academy of Sciences), Laure Petrucci (LIPN, CNRS UMR 7030, Université Sorbonne Paris Nord), Teofil Sidoruk (Institute of Computer Science, Polish Academy of Sciences)
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Tackling Sparsity in Designated Driver Dispatch with Multi-Agent Reinforcement Learning
Jiaxuan Jiang (Tsinghua University & Shanghai Qi Zhi Institute), Ling Pan (Hong Kong University of Science and Technology), Lin Zhou (DiDi Chuxing Technology Co.), Longbo Huang (Tsinghua University), Zhixuan Fang (Tsinghua University & Shanghai Qi Zhi Institute)
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Full Proportional Justified Representation
Yusuf Hakan Kalayci (University of Southern California), Jiasen Liu (University of Southern California), David Kempe (University of Southern California)
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A View of the Certainty-Equivalence Method for PAC RL as an Application of the Trajectory Tree Method
Shivaram Kalyanakrishnan (Indian Institute of Technology Bombay), Sheel Shah (Indian Institute of Technology Bombay), Santhosh Kumar Guguloth (Indian Institute of Technology Bombay)
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Game of Thoughts: Iterative Reasoning in Game-Theoretic Domains with Large Language Models
Benjamin Kempinski (Radboud University), Ian Gemp (Google DeepMind), Kate Larson (Google DeepMind & University of Waterloo), Marc Lanctot (Google DeepMind), Yoram Bachrach (Meta), Tal Kachman (Radboud University)
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Causes and Strategies in Multiagent Systems
Sylvia S. Kerkhove (Utrecht University), Natasha Alechina (Open University & Utrecht University), Mehdi Dastani (Utrecht University)
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GUIDE-CoT: Goal-driven and User-Informed Dynamic Estimation for Pedestrian Trajectory using Chain-of-Thought
Sungsik Kim (Kookmin University), Janghyun Baek (Korea University), Jinkyu Kim (Korea University), Jaekoo Lee (Kookmin University)
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Practical Abstractions for Model Checking Continuous-Time Multi-Agent Systems
Yan Kim (Interdisciplinary Centre for Security, Reliability, and Trust, SnT, University of Luxemburg), Wojciech Jamroga (Institute of Computer Science, PAS & Interdisciplinary Centre for Security, Reliability, and Trust, SnT, University of Luxembourg), Wojciech Penczek (Institute of Computer Science, Polish Academy of Science), Laure Petrucci (LIPN, CNRS UMR 7030, Université Sorbonne Paris Nord)
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k-ApprovalVeto: A Spectrum of Voting Rules Balancing Metric Distortion and Minority Protection
Fatih Erdem Kizilkaya (University of Southern California), David Kempe (University of Southern California)
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Robustness of Epistemic Gossip Protocols Against Data Loss
Yoshikatsu Kobayashi (Department of Computer Science, Univesity of Tsukuba), Koji Hasebe (Department of Computer Science, Univesity of Tsukuba)
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Ranking Joint Policies in Dynamic Games using Evolutionary Dynamics
Natalia Koliou (University of Piraeus), George Vouros (University of Piraeus)
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Uncertain Machine Ethics Planning
Simon Kolker (University of Manchester), Louise A. Dennis (University of Manchester), Ramon Fraga Pereira (University of Manchester), Mengwei Xu (Newcastle University)
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Policy Abstraction and Nash Refinement in Tree-Exploiting PSRO
Christine Konicki (Michigan Tech Research Institute), Mithun Chakraborty (University of Michigan), Michael P. Wellman (University of Michigan)
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Free Argumentative Exchanges for Explaining Image Classifiers
Avinash Kori (Imperial College London), Antonio Rago (Imperial College London), Francesca Toni (Imperial College London)
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Offline Multi-Agent Preference-based Reinforcement Learning with Agent-aware Direct Preference Optimization
Qian Kou (National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Application Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University), Mingyang Li (National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Application Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University), Zeyang Liu (National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Application Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University), Long Qian (National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Application Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University), Zhuoran Chen (National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Application Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University), Lipeng Wan (National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Application Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University), Xingyu Chen (National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Application Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University), Xuguang Lan (National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Application Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University)
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Game Theory with Simulation in the Presence of Unpredictable Randomisation
Vojtech Kovarík (Czech Technical Univeresity in Prague), Nathaniel Sauerberg (University of Texas at Austin), Lewis Hammond (University of Oxford), Vincent Conitzer (Carnegie Mellon University)
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Tighter Value-Function Approximations for POMDPs
Merlijn Krale (Radboud University), Wietze Koops (Lund University & University of Copenhagen), Sebastian Junges (Radboud University), Thiago D. Simão (Eindhoven University of Technology), Nils Jansen (Ruhr-Universität Bochum)
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The Bakers and Millers Game with Restricted Locations
Simon Krogmann (Hasso Plattner Institute, University of Potsdam), Pascal Lenzner (Institute of Computer Science, University of Augsburg), Alexander Skopalik (Mathematics of Operations Research, University of Twente)
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Near-Linear Time Leader Election in Multiagent Networks
Ajay D. Kshemkalyani (University of Illinois at Chicago), Manish Kumar (Indian Institute of Technology Madras), Anisur Rahaman Molla (Indian Statistical Institute Kolkata), Gokarna Sharma (Kent State University)
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Dynamic Coalition Structure Detection in Natural-Language-based Interactions
Abhishek N. Kulkarni (University of Texas at Austin), Andy Liu (Carnegie Mellon University), Jean-Raphaël Gaglione (University of Texas at Austin), Daniel Fried (Carnegie Mellon University), Ufuk Topcu (University of Texas at Austin)
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Emergence of Recursive Language through Bootstrapping and Iterated Learning
Vikas Kumar (TCS Research), Ajin George Joseph (Indian Institute of Technology Tirupati)
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AdaCred: Adaptive Causal Decision Transformers with Feature Crediting
Hemant Kumawat (Georgia Institute of Technology), Saibal Mukhopadhyay (Georgia Institute of Technology)
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Soft Condorcet Optimization for Ranking of General Agents
Marc Lanctot (Google DeepMind), Kate Larson (Google DeepMind & University of Waterloo), Michael Kaisers (Google DeepMind), Quentin Berthet (Google DeepMind), Ian Gemp (Google DeepMind), Manfred Diaz (MIla & University of Montreal), Roberto-Rafael Maura-Rivero (Google DeepMind, LSE), Yoram Bachrach (Meta), Anna Koop (Google DeepMind), Doina Precup (Google DeepMind)
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MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control
Sunbowen Lee (College of Science Hubei Province Key Laboratory of System Science in Metallurgical Process, Wuhan University of Science and Technology), Hongqin Lyu (State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences), Yicheng Gong (College of Science Hubei Province Key Laboratory of System Science in Metallurgical Process, Wuhan University of Science and Technology), Yingying Sun (College of Science, Wuhan University of Science and Technology), Chao Deng (School of Automobile and Traffic Engineering, Wuhan University of Science and Technology)
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Timed Obstruction Logic: A Timed Approach to Dynamic Game Reasoning
Jean Leneutre (Télécom Paris, Institut Polytechnique de Paris), Vadim Malvone (Télécom Paris, Institut Polytechnique de Paris), James Ortiz (Télécom Paris, Institut Polytechnique de Paris)
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Curiosity-Driven Partner Selection Accelerates Convention Emergence in Language Games
Chin-wing Leung (University of Warwick), Paolo Turrini (University of Warwick), Ann Nowé (Vrije Universiteit Brussel)
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Self-Supervised Multi-Agent Diversity with Nonparametric Entropy Maximization
Tianxu Li (College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics), Kun Zhu (College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics)
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OGS-SLAM: Hybrid ORB-Gaussian Splatting SLAM
Xiaohan Li (University of Science and Technology of China), Wenxiang Shen (Tongji University), Dong Liu (University of Science and Technology of China), Jun Wu (Fudan University)
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Rational Capability in Concurrent Games
Yinfeng Li (IRIT, CNRS, University of Toulouse), Emiliano Lorini (IRIT, CNRS, University of Toulouse), Munyque Mittelmann (University of Naples Federico II)
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Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning
Yugu Li (University of South Australia), Zehong Cao (University of South Australia), Jianglin Qiao (University of South Australia), Siyi Hu (University of South Australia)
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Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning
Wei-Chen Liao (Department of Computer Science, National Yang Ming Chiao Tung University), Ti-Rong Wu (Institute of Information Science, Academia Sinica), I-Chen Wu (Department of Computer Science, National Yang Ming Chiao Tung University)
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Adaptive Bi-Level Multi-Robot Task Allocation and Learning under Uncertainty with Temporal Logic Constraints
Xiaoshan Lin (University of Minnesota, Twin Cities), Roberto Tron (Boston University)
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Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards
Fangqi Liu (Vanderbilt University), Rishav Sen (Vanderbilt University), Jose Paolo Talusan (Vanderbilt University), Ava Pettet (Nissan Advanced Technology Center - Silicon Valley), Aaron Kandel (Nissan Advanced Technology Center - Silicon Valley), Yoshinori Suzue (Nissan Advanced Technology Center - Silicon Valley), Ayan Mukhopadhyay (Vanderbilt University), Abhishek Dubey (Vanderbilt University)
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Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits
Jiayuan Liu (Carnegie Mellon University), Siwei Wang (Microsoft Research Asia), Zhixuan Fang (Tsinghua University & Shanghai Qi Zhi Institute)
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Teamwork Makes the Defense Work: Comprehensive Vulnerability Defense Resource Allocation
Siyu Liu (Arizona State University), Rida Bazzi (Arizona State University), Fei Fang (Carnegie Mellon University), Tiffany Bao (Arizona State University)
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Games in Public Announcement: How to Reduce System Losses in Optimistic Blockchain Mechanisms
Siyuan Liu (School of Software and Microelectronics, Peking University), Yulong Zeng (Beijing YeeZTech Ltd)
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Data Pricing for Graph Neural Networks without Pre-purchased Inspection
Yiping Liu (The University of Auckland), Mengxiao Zhang (The University of Auckland), Jiamou Liu (The University of Auckland), Song Yang (The University of Auckland)
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Leveraging Score-based Models for Generating Penalization in Model-based Offline Reinforcement Learning
Zeyuan Liu (Tsinghua Shenzhen International Graduate School, Tsinghua University), Zhirui Fang (Tsinghua Shenzhen International Graduate School, Tsinghua University), Jiafei Lyu (Tsinghua Shenzhen International Graduate School, Tsinghua University), Xiu Li (Tsinghua Shenzhen International Graduate School, Tsinghua University)
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MAGNET: A Multi-Agent Graph Neural Network for Efficient Bipartite Task Assignment
Donald Loveland (University of Michigan), James Usevitch (Brigham Young University), Zachary Serlin (MIT Lincoln Laboratory), Danai Koutra (University of Michigan), Rajmonda Caceres (MIT Lincoln Laboratory)
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Multi-Ship Future Interaction Trajectory Prediction via Pre-Initializer Diffusion Model
Kun Ma (Harbin Engineering University), Qilong Han (Harbin Engineering University), Jingzheng Yao (Harbin Engineering University)
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Minimizing Makespan with Conflict-Based Search for Optimal Multi-Agent Path Finding
Amir Maliah (Ben-Gurion University), Dor Atzmon (Bar-Ilan University), Ariel Felner (Ben-Gurion University)
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Beyond Goal Recognition: A Reinforcement Learning-based Approach to Inferring Agent Behaviour
Sheryl Mantik (RMIT University), Michael Dann (viewa.com), Minyi Li (jahan.ai), Huong Ha (RMIT University), Julie Porteous (RMIT University)
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Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness
Piyushi Manupriya (IIT Hyderabad), Himanshu (IIT Hyderabad), SakethaNath Jagarlapudi (IIT Hyderabad), Ganesh Ghalme (IIT Hyderabad)
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On Stateful Value Factorization in Multi-Agent Reinforcement Learning
Enrico Marchesini (Massachusetts Institute of Technology), Andrea Baisero (Northeastern University), Rupali Bhati (Northeastern University), Christopher Amato (Northeastern University)
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ApproxED: Approximate Exploitability Descent via Learned Best Responses
Carlos Martin (Carnegie Mellon University), Tuomas Sandholm (Carnegie Mellon University, Strategy Robot, Inc., Optimized Markets, Inc., & Strategic Machine, Inc.)
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Improving Policy Optimization via ε-Retrain
Luca Marzari (University of Verona), Priya L. Donti (Massachusetts Institute of Technology), Changliu Liu (Carnegie Mellon University), Enrico Marchesini (Massachusetts Institute of Technology)
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Discovery and Deployment of Emergent Robot Swarm Behaviors via Representation Learning and Real2Sim2Real Transfer
Connor Mattson (University of Utah), Varun Raveendra (University of Utah), Ricardo Vega (George Mason University), Cameron Nowzari (George Mason University), Daniel S. Drew (University of Hawaii at Manoa), Daniel S. Brown (University of Utah)
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Generalised BDI Planning
Felipe Meneguzzi (University of Aberdeen & PUCRS), Ramon Fraga Pereira (University of Manchester & UFRGS), Nir Oren (University of Aberdeen)
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Multi-agent Reinforcement Learning in the All-or-Nothing Public Goods game on Networks
Benedikt Valentin Meylahn (University of Amsterdam)
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Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment
Kartik Nagpal (University of California, Berkeley), Dayi Dong (University of California, Berkeley), Negar Mehr (University of California, Berkeley)
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Explaining Facial Expression Recognition
Sanjeev Nahulanthran (Monash University), Leimin Tian (CSIRO Robotics), Dana Kulic (Monash University), Mor Vered (Monash University)
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Evaluation-Time Policy Switching for Offline Reinforcement Learning
Natinael Solomon Neggatu (University of Warwick), Jeremie Houssineau (Nanyang Technological University), Giovanni Montana (University of Warwick)
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Resource Task Games
Jessica L. Newman (University of Southampton), Enrico Gerding (University of Southampton), Enrico Marchioni (University of Southampton), Baharak Rastegari (University of Southampton)
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Personality-Driven Decision Making in LLM-Based Autonomous Agents
Lewis Newsham (Lancaster University), Daniel Prince (Lancaster University)
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Contrastive Explainable Clustering with Differential Privacy
DungXXX Nguyen (Department of Computer Science, and Biocomplexity Institute, University of Virginia), Ariel Vetzler (Department of Computer Science, Bar-Ilan University), Sarit Kraus (Department of Computer Science, Bar-Ilan University), Anil Vullikanti (Department of Computer Science, and Biocomplexity Institute, University of Virginia)
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DUPRE: Data Utility Prediction for Efficient Data Valuation
Kieu Thao Nguyen Nguyen (National University of Singapore), Rachael Hwee Ling Sim (National University of Singapore), Quoc Phong Nguyen (A2I2, Deakin University), See-Kiong Ng (National University of Singapore), Bryan Kian Hsiang Low (National University of Singapore)
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Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures
Erfaun Noorani (University of Maryland), Pasan Dissanayake (University of Maryland), Faisal Hamman (University of Maryland), Sanghamitra Dutta (University of Maryland)
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Conformal Set-based Human-AI Complementarity with Multiple Experts
Helbert Paat (The Hong Kong Polytechnic University), Guohao Shen (The Hong Kong Polytechnic University)
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Together We Rise: Optimizing Real-Time Multi-Robot Task Allocation using Coordinated Heterogeneous Plays
Aritra Pal (TCS Research), Anandsingh Chauhan (TCS Research), Mayank Baranwal (TCS Research)
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Smooth Information Gathering in Two-Player Noncooperative Games
Fernando Palafox (University of Texas at Austin), Jesse Milzman (DEVCOM Army Research Laboratory), Dong Ho Lee (University of Texas at Austin), Ryan Park (University of Texas at Austin), David Fridovich-Keil (University of Texas at Austin)
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Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems
Yuxin Pan (The Hong Kong University of Science and Technology), Ruohong Liu (University of Oxford), Yize Chen (University of Alberta), Zhiguang Cao (Singapore Management University), Fangzhen Lin (The Hong Kong University of Science and Technology)
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An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks
George Papadopoulos (University of Piraeus), Andreas Kontogiannis (NTUA & Archimedes AI), Foteini Papadopoulou (Radboud University), Chaido Poulianou (University of Piraeus), Ioannis Koumentis (University of Piraeus), George Vouros (University of Piraeus)
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Enhancing Graph-based Coordination with Evolutionary Algorithms for Episodic Multi-agent Reinforcement Learning
Kexing Peng (School of Computer Science, Nanjing University of Information Science & Technology), Pengyi Li (College of Intelligence and Computing, Tianjin University), Jianye Hao (College of Intelligence and Computing, Tianjin University)
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Multi-objective Reinforcement Learning with Nonlinear Preferences: Provable Approximation for Maximizing Expected Scalarized Return
Nianli Peng (Harvard University), Muhang Tian (Duke University), Brandon Fain (Duke University)
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ShipNaviSim: Data-Driven Simulation for Real-World Maritime Navigation
Quang Anh Pham (Singapore Management University), Janaka Chathuranga Brahmanage (Singapore Management University), Akshat Kumar (Singapore Management University)
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Artificial Agents Mitigate The Punishment Dilemma of Indirect Reciprocity
Alexandre S. Pires (University of Amsterdam), Fernando P. Santos (University of Amsterdam)
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Anytime Fairness Guarantees in Stochastic Combinatorial MABs: A Novel Learning Framework
Subham Pokhriyal (Indian Institute of Technology Ropar), Shweta Jain (Indian Institute of Technology Ropar), Ganesh Ghalme (Indian Institute of Technology Hyderabad), Vaneet Aggarwal (Purdue University)
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Indifferential Privacy: A New Paradigm and Its Applications to Optimal Matching in Dark Pool Auctions
Antigoni Polychroniadou (J.P. Morgan AI Research, J.P. Morgan AlgoCRYPT CoE), T-H. Hubert Chan (University of Hong Kong), Adya Agrawal (J.P. Morgan Chase)
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EconoJax: A Fast & Scalable Economic Simulation in JAX
Koen Ponse (LIACS, Leiden University), Aske Plaat (LIACS, Leiden University), Niki van Stein (LIACS, Leiden University), Thomas M. Moerland (LIACS, Leiden University)
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Decentralized Planning Using Probabilistic Hyperproperties
Francesco Pontiggia (TU Wien), Filip Macák (Brno University of Technology), Roman Andriushchenko (Brno University of Technology), Michele Chiari (TU Wien), Milan Češka (Brno University of Technology)
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Uncertainty Expression for Human-Robot Task Communication
David Porfirio (U.S. Naval Research Laboratory), Mark Roberts (U.S. Naval Research Laboratory), Laura M. Hiatt (U.S. Naval Research Laboratory)
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Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains
Nikhilesh Prabhakar (The University of Texas at Dallas), Ranveer Singh (The University of Texas at Dallas), Harsha Kokel (IBM Research), Sriraam Natarajan (The University of Texas at Dallas), Prasad Tadepalli (Oregon State University)
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Reinforcement Learning Based Simulated Annealing
Nathan Qiu (Stony Brook University), Daniel Liang (Stony Brook University)
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Planning, Scheduling, and Execution on the Moon: The CADRE Technology Demonstration Mission
Gregg Rabideau (Jet Propulsion Laboratory - California Institute of Technology), Joseph Russino (Jet Propulsion Laboratory - California Institute of Technology), Andrew Branch (Jet Propulsion Laboratory - California Institute of Technology), Nihal Dhamani (Jet Propulsion Laboratory - California Institute of Technology), Tiago Stegun Vaquero (Jet Propulsion Laboratory - California Institute of Technology), Steve Chien (Jet Propulsion Laboratory - California Institute of Technology), Jean-Pierre de la Croix (Jet Propulsion Laboratory - California Institute of Technology), Federico Rossi (Jet Propulsion Laboratory - California Institute of Technology)
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Reputation-Filtered Reward Reshaping: Encouraging Cooperation in High Dimensional Semi-Cooperative Multi-agent Settings
Hassan Raissouni (Ai Movement, Mohammed VI Polytechnic University), Wissal Bekhti (Ai Movement, Mohammed VI Polytechnic University), Btissam El Khamlichi (Ai Movement, Mohammed VI Polytechnic University), Amal El Fallah Seghrouchni (Ai Movement, Mohammed VI Polytechnic University)
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Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning
Tianyu Ren (University of Manchester), Xuan Yao (Southeast University), Yang Li (University of Manchester), Xiao-Jun Zeng (University of Manchester)
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The Effect of Agent-based Feedback on Prosociality in Social Dilemmas
Jennifer Renoux (Örebro University), Filipa Correia (Interactive Technologies Institute), Joana Campos (INESC-ID and Instituto Superior Técnico, University of Lisbon), Lucas Morillo-Mendez (Örebro University), Neziha Akalin (Jönköping University), Fernando P. Santos (University of Amsterdam), Ana Paiva (INESC-ID and Instituto Superior Técnico, University of Lisbon)
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Real-World Testing Matters in Reinforcement Learning for Education
Anna Riedmann (Socially Interactive Agents, University of Würzburg), Carlo D'Eramo (Center for Artificial Intelligence and Data Science, University of Würzburg & Technical University of Darmstadt), Birgit Lugrin (Socially Interactive Agents, University of Würzburg)
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Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning
Willem Röpke (Vrije Universiteit Brussel), Mathieu Reymond (Mila - Quebec Artificial Intelligence Institute & Vrije Universiteit Brussel), Patrick Mannion (University of Galway), Diederik M. Roijers (City of Amsterdam & Vrije Universiteit Brussel), Ann Nowé (Vrije Universiteit Brussel), Roxana RadulescuXXX (Utrecht University & Vrije Universiteit Brussel)
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On Some Fundamental Problems for Multi-Agent Systems Over Multilayer Networks
Daniel J. Rosenkrantz (University of Virginia), Madhav V. Marathe (University of Virginia), Zirou Qiu (University of Virginia), S. S. Ravi (University of Virginia), Richard E. Stearns (University of Virginia)
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Factorised Active Inference for Strategic Multi-Agent Interactions
Jaime Ruiz-Serra (Centre for Complex Systems, The University of Sydney), Patrick Sweeney (Centre for Complex Systems, The University of Sydney), Michael S. Harré (Centre for Complex Systems, The University of Sydney)
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Multi-Objective Planning with Contextual Lexicographic Reward Preferences
Pulkit Rustagi (Oregon State University), Yashwanthi Anand (Oregon State University), Sandhya Saisubramanian (Oregon State University)
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Gricean Norms as a Basis for Effective Collaboration
Fardin Saad (North Carolina State University), Pradeep K. Murukannaiah (Delft University of Technology), Munindar P. Singh (North Carolina State University)
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Surprise! Surprise! Learn and Adapt
Huma Samin (University of Exeter), Dylan Walton (Durham University), Nelly Bencomo (Durham University)
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Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Bidipta Sarkar (Stanford University), Warren Xia (Stanford University), C. Karen Liu (Stanford University), Dorsa Sadigh (Stanford University)
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Formalising Overdetermination in a Labelled Transition System
Camilo Sarmiento (Lip6, Sorbonne Université), Gauvain Bourgne (Lip6, Sorbonne Université), Jean-Gabriel Ganascia (Lip6, Sorbonne Université)
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Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
Lukas Schäfer (University of Edinburgh), Oliver Slumbers (University College London), Stephen McAleer (Carnegie Mellon University), Yali Du (King's College London), Stefano V. Albrecht (University of Edinburgh), David Mguni (Queen Mary University, London)
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Candidate Nomination for Condorcet-consistent Voting Rules
Ildikó Schlotter (HUN-REN Centre for Economic and Regional Studies), Katarína Cechlárová (P.J. Šafárik University)
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The Strong Core of Housing Markets with Partial Order Preferences
Ildikó Schlotter (HUN-REN Centre for Economic and Regional Studies), Lydia Mirabel Mendoza-Cadena (MTA-ELTE Matroid Optimization Research Group, Department of Operations Research, Eötvös Lorand University)
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$Socratic:$ Enhancing Human Teamwork via AI-enabled Coaching
Sangwon Seo (Rice University), Bing Han (Rice University), Rayan E. Harari (Harvard Medical School), Roger D. Dias (Harvard Medical School), Marco A. Zenati (Harvard Medical School), Eduardo Salas (Rice University), Vaibhav Unhelkar (Rice University)
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Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
Sangwon Seo (Rice University), Vaibhav Unhelkar (Rice University)
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Towards Efficient Online Goal Recognition through Deep Learning
Lorenzo Serina (Università degli Studi di Brescia), Mattia Chiari (Università degli Studi di Brescia), Alfonso Emilio Gerevini (Università degli Studi di Brescia), Luca Putelli (Università degli Studi di Brescia), Ivan Serina (Università degli Studi di Brescia)
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Learning Symbolic Task Decompositions for Multi-Agent Teams
Ameesh Shah (UC Berkeley), Niklas Lauffer (UC Berkeley), Thomas Chen (UC Berkeley), Nikhil Pitta (UC Berkeley), Sanjit A. Seshia (UC Berkeley)
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Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
Junning Shao (Tsinghua University & Shanghai Qi Zhi Institute), Siwei Wang (Microsoft Resea), Zhixuan Fang (Tsinghua University & Shanghai Qi Zhi Institute)
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Incentivizing Truth Exploration and Honest Reporting: A Contract Design Approach
Yuming Shao (Tsinghua University), Zhixuan Fang (Tsinghua University & Shanghai Qi Zhi Institute)
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xSRL: Safety-Aware Explainable Reinforcement Learning - Safety as a Product of Explainability
Risal Shahriar Shefin (Wake Forest University), Md Asifur Rahman (Wake Forest University), Thai Le (Indiana University), Sarra Alqahtani (Wake Forest University)
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Modeling the Centaur: Human-Machine Synergy in Sequential Decision Making
David Shoresh (The Edmond and Lily Safra Center for Brain Sciences, Hebrew University), Yonatan Loewenstein (The Edmond and Lily Safra Center for Brain Sciences Departments of Neurobiology and Cognitive Sciences and the Federmann Center for the Study of Rationality, Hebrew University)
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Tackling Temporal Deontic Challenges with Equilibrium Logic
Davide Soldà (TU Wien), Pedro Cabalar (University of A Coruña), Agata Ciabattoni (TU Wien), Emery Neufeld (TU Wien)
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Housing Market on Networks
Xinwei Song (Key Laboratory of Intelligent Perception and Human-Machine Collaboration, ShanghaiTech University), Tianyi Yang (Key Laboratory of Intelligent Perception and Human-Machine Collaboration, ShanghaiTech University), Dengji Zhao (Key Laboratory of Intelligent Perception and Human-Machine Collaboration, ShanghaiTech University)
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An Organizationally-Oriented Approach to Enhancing Explainability and Control in Multi-Agent Reinforcement Learning
Julien Soulé (Univ. Grenoble Alpes), Jean-Paul Jamont (Univ. Grenoble Alpes), Michel Occello (Univ. Grenoble Alpes), Louis-Marie Traonouez (Thales Land and Air Systems, BU IAS), Paul Théron (AICA IWG)
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Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective
Chuxiong Sun (National Key Laboratory of Space Integrated Information System, Institute of Software, Chinese Academy of Sciences), Peng He (Beijing University of Posts and Telecommunications), Rui Wang (National Key Laboratory of Space Integrated Information System, Institute of Software, Chinese Academy of Sciences & State Key Laboratory of Intelligent Game), Changwen Zheng (National Key Laboratory of Space Integrated Information System, Institute of Software, Chinese Academy of Sciences)
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Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning
Jingbo Sun (Institute of Automation, CASIA, Pengcheng Laboratory, & School of Artificial Intelligence, UCAS), Songjun Tu (Institute of Automation, CASIA, Pengcheng Laboratory, & School of Artificial Intelligence, UCAS), Qichao Zhang (Institute of Automation, CASIA & School of Artificial Intelligence, UCAS), Ke Chen (Pengcheng Laboratory), Dongbin Zhao (Institute of Automation, CASIA & School of Artificial Intelligence, UCAS)
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The Many Challenges of Human-Like Agents in Virtual Game Environments
Maciej Świechowski (QED Software), Dominik Ślęzak (University of Warsaw)
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Value Iteration for Learning Concurrently Executable Robotic Control Tasks
Sheikh A. Tahmid (University of Waterloo), Gennaro Notomista (University of Waterloo)
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Ready, Bid, Go! On-Demand Delivery Using Fleets of Drones with Unknown, Heterogeneous Energy Storage Constraints.
Mohamed S. Talamali (The University of Sheffield), Genki Miyauchi (The University of Sheffield), Thomas Watteyne (Inria), Micael S. Couceiro (Ingeniarius, Ltd.), Roderich Groß (Technical University of Darmstadt)
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The Degree of (Extended) Justified Representation and Its Optimization
Biaoshuai Tao (Shanghai Jiao Tong University), Chengkai Zhang (Shanghai Jiao Tong University), Houyu Zhou (UNSW Sydney)
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Logic of Knowledge and Cognitive Ability
Jia Tao (Lafayette College), Xinran Zhang (University of Illinois Urbana-Champaign)
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EduQate: Generating Adaptive Curricula through RMABs in Education Settings
Sidney Tio (Singapore Management University), Dexun Li (Singapore Management University), Pradeep Varakantham (Singapore Management University)
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Large Language Models for Virtual Human Gesture Selection
Parisa Ghanad Torshizi (Northeastern University), Laura B. Hensel (University of Glasgow), Ari Shapiro (FlawlessAI), Stacy C. Marsella (Northeastern University)
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Conditional Max-Sum for Asynchronous Multiagent Decision Making
Dimitrios Troullinos (Technical University of Crete), Georgios Chalkiadakis (Technical University of Crete), Ioannis Papamichail (Technical University of Crete), Markos Papageorgiou (Technical University of Crete)
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Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model
Songjun Tu (Institute of Automation, CASIA, Pengcheng Laboratory, & School of Artificial Intelligence, UCAS), Jingbo Sun (Institute of Automation, CASIA, Pengcheng Laboratory, & School of Artificial Intelligence, UCAS), Qichao Zhang (Institute of Automation, CASIA & School of Artificial Intelligence, UCAS), Xiangyuan Lan (Pengcheng Laboratory & Pazhou Laboratory (Huangpu), Dongbin Zhao (Institute of Automation, CASIA & School of Artificial Intelligence, UCAS)
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Maximizing Truth Learning in a Social Network is NP-hard
Filip Úradník (Charles University Prague), Amanda Wang (Princeton University), Jie Gao (Rutgers University)
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Networked Agents in the Dark: Team Value Learning under Partial Observability
Guilherme S. Varela (Instituto Superior Técnico, INESC-ID), Alberto Sardinha (PUC-Rio), Francisco S. Melo (Instituto Superior Técnico, INESC-ID)
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HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning
Kryspin Varys (University of Southampton), Federico Cerutti (University of Brescia), Adam Sobey (The Alan Turing Institute & University of Southampton), Timothy J. Norman (University of Southampton)
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A Minimax Approach to Ad Hoc Teamwork
Victor Villin (Université de Neuchâtel), Thomas Kleine Buening (The Alan Turing Institute), Christos Dimitrakakis (Université de Neuchâtel)
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Implicit Repair with Reinforcement Learning in Emergent Communication
Fábio Vital (INESC-ID & Instituto Superior Técnico), Alberto Sardinha (INESC-ID & PUC-Rio), Francisco S. Melo (INESC-ID & Instituto Superior)
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FLIGHT: Facility Location Integrating Generalized, Holistic Theory of Welfare
Avyukta Manjunatha Vummintala (International Institute of Information Technology), Shivam Gupta (Indian Institute of Technology Ropar), Shweta Jain (Indian Institute of Technology), Sujit Gujar (International Institute of Information Technology)
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InCLET: Large Language Model In-context Learning can Improve Embodied Instruction-following
Peng-Yuan Wang (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University & Polixir.ai), Jing-Cheng Pang (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University & Polixir.ai), Chen-Yang Wang (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University), Xuhui Liu (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University), Tian-Shuo Liu (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University & Polixir.ai), Si-Hang Yang (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University & Polixir.ai), Hong Qian (Shanghai Institute of AI for Education and School of Computer Science and Technology, East China Normal University), Yang Yu (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University & Polixir.ai)
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On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow
Tonghan Wang (Harvard University), Heng Dong (Tsinghua University), Yanchen Jiang (Harvard University), David C. Parkes (Harvard University), Milind Tambe (Harvard University)
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ReSCOM: Reward-Shaped Curriculum for Efficient Multi-Agent Communication Learning
Xinghai Wei (Beijing University of Posts and Telecommunications), Tingting Yuan (University of Göttingen), Jie Yuan (Beijing University of Posts and Telecommunications), Dongxiao Liu (Beijing University of Posts and Telecommunications), Xiaoming Fu (University of Göttingen)
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Goal Recognition via Variational Causality
Jiaqi Wen (University of Houston), Leonardo Amado (University of Aberdeen)
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A Scoresheet for Explainable AI
Michael Winikoff (Victoria University of Wellington), John Thangarajah (RMIT University), Sebastian Rodriguez (RMIT University)
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FGLight: Learning Neighbor-level Information for Traffic Signal Control
Hang Xiao (School of Software, Northwest Polytechnical University), Huale Li (School of Software, Northwest Polytechnical University & Yangtze River Delta Research Institute of NPU), Shuhan Qi (School of Computer Science and Technology, Harbin Insitute of Technology, Shenzhen), Jiajia Zhang (School of Computer Science and Technology, Harbin Institute of Technology Shenzhen), DingZhong Cai (School of Software, Northwestern Polytechnical University)
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ACORN: Acyclic Coordination with Reachability Network to Reduce Communication Redundancy in Multi-Agent Systems
Yi Xie (FAET, Fudan University), Ziqing Zhou (FAET, Fudan University), Chun Ouyang (FAET, Fudan University), Siao Liu (FAET, Fudan University), Linqiang Hu (FAET, Fudan University), Zhongxue Gan (FAET, Fudan University)
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Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation
Guohjun Xiong (Harvard University), Haichuan Wang (Harvard University), Yuqi Pan (Harvard University), Saptarshi Mandal (University of Illinois Urbana-Champaign), Sanket Shah (Harvard University), Niclas Boehmer (Harvard University), Milind Tambe (Harvard University)
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On the Effective Horizon of Inverse Reinforcement Learning
Yiqing Xu (School of Computing, National University of Singapore), Finale Doshi-Velez (Department of Computer Science, Harvard University), David Hsu (School of Computing, Smart System Institute, National University of Singapore)
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Uncertainty-Aware Opponent Modeling for Deep Reinforcement Learning
Likun Yang (School of Artificial Intelligence, University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences), Pei Xu (School of Artificial Intelligence, University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences), Shiyue Cao (School of Artificial Intelligence, University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences), Yongjian Ren (School of Artificial Intelligence, University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences), Xiaotang Chen (School of Artificial Intelligence, University of Chinese Academy of Sciences & Institute of Automation, Chinese Academy of Sciences), Kaiqi Huang (School of Artificial Intelligence, University of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, & CAS Center for Excellence in Brain Science and Intelligence Technology)
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Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer
Yaodong Yang (Department of CSE, CUHK), Guangyong Chen (Zhejiang Lab), Hongyao Tang (Mila, University of Montreal), Furui Liu (Zhejiang Lab), Danruo Deng (Department of CSE, CUHK), Pheng-Ann Heng (Department of CSE, CUHK)
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Self-Interpretable Reinforcement Learning via Rule Ensembles
Yue Yang (Monash University), Fan Yang (Monash University), Yu Bai (Monash University), Hao Wang (Monash University)
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Asymptotic Existence of Class Envy-free Matchings
Tomohiko Yokoyama (The University of Tokyo), Ayumi Igarashi (The University of Tokyo)
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Adaptive Episode Length Adjustment for Multi-agent Reinforcement Learning
Byunghyun Yoo (Electronics and Telecommunications Research Institute (ETRI), Younghwan Shin (Electronics and Telecommunications Research Institute (ETRI), Hyunwoo Kim (Electronics and Telecommunications Research Institute (ETRI), Euisok Chung (Electronics and Telecommunications Research Institute (ETRI), Jeongmin Yang (Electronics and Telecommunications Research Institute (ETRI)
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Task-Agnostic Contrastive pre-Training for Inter-Agent Communication
Peihong Yu (University of Maryland), Manav Mishra (IISER Bhopal), Syed Zaidi (University of Maryland), Pratap Tokekar (University of Maryland)
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Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration
Xingrui Yu (CFAR, IHPC, Agency for Science, Technology and Research), Zhenglin Wan (School of Data Science, The Chinese University of Hong Kong, Shenzhen), David Mark Bossens (CFAR, IHPC, Agency for Science, Technology and Research), Yueming Lyu (CFAR, IHPC, Agency for Science, Technology and Research), Qing Guo (CFAR, IHPC, Agency for Science, Technology and Research), Ivor W. Tsang (CFAR, IHPC, Agency for Science, Technology and Research & College of Computing and Data Science, NTU)
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Insights Regarding the Success of Damping in Improving Belief Propagation
Uriel Zaed (Ben Gurion University), Omer Lev (Ben Gurion University), Roie Zivan (Ben Gurion University)
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Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RL
Sheng Zang (Nanyang Technological University & Institute for Infocomm Research, A*STAR), Zhiguang Cao (Singapore Management University), Bo An (Nanyang Technological University & Skywork AI), Senthilnath Jayavelu (Institute for Infocomm Research, A*STAR), Xiaoli Li (Institute for Infocomm Research, A*STAR & Nanyang Technological University)
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Loss of Plasticity: A New Perspective on Solving Multi-Agent Exploration for Sparse Reward Tasks
Zehua Zang (University of Chinese Academy of Sciences & Institute of Software Chinese Academy of Sciences), Chuxiong Sun (Institute of Software Chinese Academy of Sciences), Lixiang Liu (Institute of Software Chinese Academy of Sciences), Fuchun Sun (Tsinghua University & Institute of Software Chinese Academy of Sciences), Changwen Zheng (Institute of Software Chinese Academy of Sciences)
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On the Structure of EFX Orientations on Graphs
Jinghan A. Zeng (University of Illinois Urbana-Champaign), Ruta Mehta (University of Illinois Urbana-Champaign)
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β-DQN: Improving Deep Q-Learning By Evolving the Behavior
Hongming Zhang (University of Alberta & Amii), Fengshuo Bai (Shanghai Jiao Tong University), Chenjun Xiao (CUHK-Shenzhen), Chao Gao (Edmonton Research Center, Huawei), Bo Xu (CASIA), Martin Müller (University of Alberta & Amii)
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Incentives for Early Arrival in Cost Sharing
Junyu Zhang (ShanghaiTech University), Yao Zhang (Kyushu University), Yaoxin Ge (ShanghaiTech University), Dengji Zhao (ShanghaiTech University), Hu Fu (Shanghai University of Finance and Economics), Zhihao Gavin Tang (Shanghai University of Finance and Economics), Pinyan Lu (Shanghai University of Finance and Economics)
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Offline Goal-Conditioned Reinforcement Learning with Elastic-Subgoal Diffused Policy Learning
Yaocheng Zhang (Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences), Yuanheng Zhu (Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences), Yuqian Fu (Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences), Songjun Tu (Institute of Automation, Chinese Academy of Sciences & Pengcheng Laboratory), Dongbin Zhao (Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences)
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Unveiling Decision Intention for Cooperative Multi-Agent Reinforcement Learning
Zeren Zhang (The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences), Zhiwei Xu (School of Artificial Intelligence, Shandong University), Guangchong Zhou (The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences), Dapeng Li (The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences), Bin Zhang (The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences), Guoliang Fan (The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences)
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Agent-Based Analysis of Green Disclosure Policies and Their Market-Wide Impact on Firm Behavior
Lingxiao Zhao (King's College London), Maria Polukarov (King's College London), Carmine Ventre (King's College London)
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Mean Field Correlated Imitation Learning
Zhiyu Zhao (Institute of Automation, CAS & School of Artificial Intelligence, UCAS), Chengdong Ma (Institute for Artificial Intelligence, Peking University), Qirui Mi (Institute of Automation, CAS & School of Artificial Intelligence, UCAS), Ning Yang (Institute of Automation, CAS & School of Artificial Intelligence, UCAS), Xue Yan (Institute of Automation, CAS & School of Artificial Intelligence, UCAS), Mengyue Yang (University of Bristol), Haifeng Zhang (Institute of Automation, CAS & School of Artificial Intelligence, UCAS), Jun Wang (University College London), Yaodong Yang (Institute for Artificial Intelligence, Peking University)
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Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration
Hai Zhong (IIIS, Tsinghua University), Xun Wang (IIIS, Tsinghua University), Zhuoran Li (IIIS, Tsinghua University), Longbo Huang (IIIS, Tsinghua University)
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Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners
Fengming Zhu (The Hong Kong University of Science and Technology), Fangzhen Lin (The Hong Kong University of Science and Technology)
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Robust Policy Learning for Multi-UAV Collision Avoidance with Causal Feature Selection
Jiafan Zhuang (Shantou University), Gaofei Han (Shantou University), Zihao Xia (Shantou University), Che Lin (Shantou University), Boxi Wang (Shantou University), Dongliang Wang (Shantou University), Wenji Li (Shantou University), Zhifeng Hao (Shantou University), Ruichu Cai (Guangdong University of Technology), Zhun Fan (University of Electronic Science and Technology of China)
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Decision-Making in Evolving Environments: A Bayesian Multi-Agent Bandit Framework
Mohammad Essa Alsomali (Lancaster University), Leandro Soriano Marcolino (Lancaster University), Barry Porter (Lancaster University), Roberto Rodrigues-Filho (Federal University of Santa Catarina)
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Combining LLMs with a Logic-Based Framework to Explain MCTS
Ziyan An (Vanderbilt University), Xia Wang (Vanderbilt University), Hendrik Baier (Eindhoven University of Technology), Zirong Chen (Vanderbilt University), Abhishek Dubey (Vanderbilt University), Taylor T. Johnson (Vanderbilt University), Jonathan Sprinkle (Vanderbilt University), Ayan Mukhopadhyay (Vanderbilt University), Meiyi Ma (Vanderbilt University)
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Adaptive Multi-Round Influence Maximization with Limited Information
Vincenzo Auletta (Università degli Studi di Salerno), Francesco Carbone (Università degli Studi di Salerno), Diodato Ferraioli (Università degli Studi di Salerno), Cosimo Vinci (Università del Salento)
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Safe Entropic Agents under Team Constraints
Ayhan Alp Aydeniz (Oregon State University), Enrico Marchesini (Massachusetts Institute of Technology), Robert Loftin (University of Sheffield), Christopher Amato (Northeastern University), Kagan Tumer (Oregon State University)
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Group Fairness in Multi-period Mobile Facility Location Problems
Haris Aziz (UNSW Sydney), Hau Chan (University of Nebraska-Lincoln), Xingchen Sha (Columbia University), Toby Walsh (UNSW Sydney), Lirong Xia (Rutgers University)
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Weighted Envy-free Allocation with Subsidy
Haris Aziz (UNSW), Xin Huang (Kyushu University), Kei Kimura (Kyushu University), Indrajit Saha (Kyushu University), Zhaohong Sun (Kyushu University), Mashbat Suzuki (UNSW), Makoto Yokoo (Kyushu University)
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Neighborhood Stability in Assignments on Graphs
Haris Aziz (UNSW Sydney), Grzegorz Lisowski (AGH University), Mashbat Suzuki (UNSW Sydney), Jeremy Vollen (UNSW Sydney)
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On the Distortion of Multi-Winner Elections on the Line Metric
Negar Babashah (Sharif University of Technology), Hasti Karimi (Sharif University of Technology), Masoud Seddighin (Tehran Institute for Advanced Studies (TeIAS), Khatam University), Golnoosh Shahkarami (Max Planck Institut für Informatik, Universität des Saarlandes)
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Interaction Protocols in an Imperative Agent-Oriented Programming Language: the case of BSPL and SARL
Matteo Baldoni (Dipartimento di Informatica, Università degli Studi di Torino), Cristina Baroglio (Dipartimento di Informatica, Università degli Studi di Torino), Stéphane Galland (Université de Technologie de Belfort Montbéliard, UTBM, CIAD UR 7533), Roberto Micalizio (Dipartimento di Informatica, Università degli Studi di Torino), Fatma Outay (College of Technological Innovation, Zayed University), Stefano Tedeschi (Università della Valle d'Aosta - Université de la Vallée d'Aoste)
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Multi-Agent Pickup and Delivery with Batteries
Marcello Bavaro (Politecnico di Milano), Francesco Amigoni (Politecnico di Milano)
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Efficient Multi-Agent Delegated Search
Curtis Bechtel (University of Southern California), Shaddin Dughmi (University of Southern California)
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Bridging the Gap between Partially Observable Stochastic Games and Sparse POMDP Methods
Tyler Becker (University of Colorado Boulder), Zachary Sunberg (University of Colorado Boulder)
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Robust Strategies for Stochastic Multi-Agent Systems
Raphaël Berthon (RWTH Aachen University), Joost-Pieter Katoen (RWTH Aachen University), Munyque Mittelmann (University of Naples Federico II), Aniello Murano (University of Naples Federico II)
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Multiplayer Games With Incomplete Information for Hyperproperty Verification
Raven Beutner (CISPA Helmholtz Center for Information Security), Bernd Finkbeiner (CISPA Helmholtz Center for Information Security)
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Planning for Temporally Extended Goals based on alpha-CTL
Viviane Bonadia dos Santos (Universidade de São Paulo), Leliane Nunes de Barros (Universidade de São Paulo), Maria Viviane de Menezes (Universidade Federal do Ceará), Silvio do Lago Pereira (Faculdade de Tecnologia de São Paulo)
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Formal Verification of Manipulation Dialogues
Andreas Brännström (Umeå University), Chiaki Sakama (Wakayama University), Juan Carlos Nieves (Umeå University)
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(Submodular) Hedonic Games with Common Ranking Property
Bugra Caskurlu (New Uzbekistan University), Ali Eser (Colby College)
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Agreement Games in Multi-Agent Systems
Davide Catta (Université Sorbonne Paris Nord CNRS, LIPN, F-93430), Angelo Ferrando (University of Modena and Reggio Emilia), Vadim Malvone (Télécom Paris, Institut Polytechnique de Paris)
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The Costly Bargain: Economic Impacts of Price-Seeking Behavior in Aging Populations
Fuguang Chen (Carleton University), Alan Tsang (Carleton University)
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Dynamic Conservative Degree Allocation for Offline Multi-Agent Reinforcement Learning
Haosheng Chen (East China Normal University), Yun Hua (East China Normal University), Junjie Sheng (East China Normal University), Wenhao Li (Tongji University), Bo Jin (Tongji University), Xiangfeng Wang (East China Normal University & Shanghai Formal-Tech Information Technology Co., Lt)
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Hierarchical Multi-Agent Framework for Dynamic Macroeconomic Modelling Using Large Language Models
Zhixun Chen (University of Technology Sydney), Zijing Shi (University of Technology Sydney), Yaodong Yang (Peking University), Meng Fang (University of Liverpool), Yali Du (King's College London)
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Traffic Anomaly Detection through Generative Modeling of Multi-Agent Interactions in Traffic Flow
Zhuojun Chen (ASTRI), Tacitus Hui (ASTRI), Xinghua Zhu (ASTRI), Dongzhe Su (ASTRI)
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Optimal Mechanism Design for Crowdfunding of Public Goods
Yukun Cheng (School of Business, Jiangnan University), Xiaotie Deng (CFCS, School of Computer Science, Peking University), Baqiao Quan (School of Mathematical Sciences, Peking University)
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Fairness in Cooperative Multi-agent Multi-objective Reinforcement Learning using the Expected Scalarized Return
Farès Chouaki (LIP6, Sorbonne Université, CNRS), Aurélie Beynier (LIP6, Sorbonne Université, CNRS), Nicolas Maudet (LIP6, Sorbonne Université, CNRS), Paolo Viappiani (LAMSADE, CNRS, Université Paris Dauphine - PSL)
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Open-World Classification with Bayesian Gaussian Mixture Models
Justin Clarke (University of Massachusetts), Przemyslaw Grabowicz (University College Dublin), David Jensen (University of Massachusetts)
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Egalitarianism in Online Coalition Formation
Saar Cohen (Department of Computer Science, Bar Ilan University), Noa Agmon (Department of Computer Science, Bar Ilan University)
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Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs
Ofer Dagan (Aerospace Engineering Sciences, University of Colorado, Boulder), Tyler Becker (Aerospace Engineering Sciences, University of Colorado, Boulder), Zachary N. Sunberg (Aerospace Engineering Sciences, University of Colorado, Boulder)
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Multi-Agent Reinforcement Learning with Selective State-Space Models
Jemma Daniel (InstaDeep), Ruan John de Kock (InstaDeep), Louay Ben Nessir (InstaDeep), Sasha Abramowitz (InstaDeep), Omayma Mahjoub (InstaDeep), Wiem Khlifi (InstaDeep), Juan Claude Formanek (InstaDeep), Arnu Pretorius (InstaDeep)
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Voter Participation Control in Online Polls
Koustav De (IIT Kharagpur), Palash Dey (IIT Kharagpur), Swagato Sanyal (University of Sheffield)
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Managing an Agent's Changing Intentions Using LTLfSynthesis
Giuseppe De Giacomo (University of Oxford & University of Rome 'La Sapienza'), Yves Lespérance (York University), Gianmarco Parretti (University of Rome 'La Sapienza'), Fabio Patrizi (University of Rome 'La Sapienza'), Renzo Schram (Utrecht University)
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Is an Exponentially Growing Action Space Really that Bad? Validating a Core Assumption for using Multi-Agent RL
Ruan de Kock (University of Cape Town), Arnu Pretorius (InstaDeep), Jonathan Shock (University of Cape Town & Institut National de la Recherche Scientifique)
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Symplex: Learning Social Norm Hierarchies by Combining Autonomous Exploration and Expert Imitation
Oliver Deane (University of Bristol), Oliver Ray (University of Bristol)
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Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication
Sydney Dolan (Massachusetts Institute of Technology), Siddharth Nayak (Massachusetts Institute of Technology), Jasmine Jerry Aloor (Massachusetts Institute of Technology), Hamsa Balakrishnan (Massachusetts Institute of Technology)
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Parameterized Complexity of Hedonic Games with Enemy-Oriented Preferences
Martin Durand (TU Wien), Laurin Erlacher (TU Wien), Johanne Müller Vistisen (TU Wien & Technical University of Denmark), Sofia Simola (TU Wien)
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Distributed Adaptive Macroscopic Ensemble Task Allocation of Heterogeneous Robot Teams in Dynamic Environments
Victoria Edwards (The GRASP Laboratory, University of Pennsylvania), M. Ani Hsieh (The GRASP Laboratory, University of Pennsylvania)
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Weighted Envy Freeness With Bounded Subsidies
Noga Klein Elmalem (The Open University of Israel), Rica Gonen (The Open University of Israel), Erel Segal-Halevi (Ariel University)
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Agential AI for Integrated Continual Learning, Deliberative Behavior, and Comprehensible Models
Zeki Doruk Erden (École Polytechnique Fédérale de Lausanne), Boi Faltings (École Polytechnique Fédérale de Lausanne)
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ADAGE: A Generic Two-layer Framework for Adaptive Agent based Modelling
Benjamin Patrick Evans (JP Morgan AI Research), Sihan Zeng (JP Morgan AI Research), Sumitra Ganesh (JP Morgan AI Research), Leo Ardon (JP Morgan AI Research)
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Participatory Budgeting Project Strength via Candidate Control
Piotr Faliszewski (AGH University), Lukasz Janeczko (AGH University), Dušan Knop (Czech Technical University in Prague), Jan Pokorný (Czech Technical University in Prague), Šimon Schierreich (Czech Technical University in Prague), Mateusz Sluszniak (AGH University), Krzysztof Sornat (AGH University)
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Quantitative Operational Monitoring for BDI Agents
Marie Farrell (The University of Manchester), Angelo Ferrando (University of Modena and Reggio Emilia), Mengwei Xu (Newcastle University)
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Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors
Lang Feng (Zhejiang University), Jiahao Lin (Zhejiang University), Dong Xing (Zhejiang University), Li Zhang (Zhejiang University), De Ma (Zhejiang University), Gang Pan (Zhejiang University)
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Action-Dependent Optimality-Preserving Reward Shaping
Grant C. Forbes (North Carolina State University), Jianxun Wang (North Carolina State University), Leonardo Villalobos-Arias (North Carolina State University), Arnav Jhala (North Carolina State University), David I. Roberts (North Carolina State University)
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Learning Flexible Heterogeneous Coordination With Capability-Aware Shared Hypernetworks
Kevin Fu (Georgia Institute of Technology), Pierce Howell (Georgia Institute of Technology), Shalin Jain (Georgia Institute of Technology), Harish Ravichandar (Georgia Institute of Technology)
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Nash Equilibrium and Learning Dynamics in Three-Player Matching m-Action Games
Yuma Fujimoto (CyberAgent), Kaito Ariu (CyberAgent), Kenshi Abe (CyberAgent)
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Adaptive Budget Optimization for Multichannel Advertising Using Combinatorial Bandits
Briti Gangopadhyay (Sony), Zhao Wang (Sony), Alberto Silvio Chiappa (Sony & EPFL), Shingo Takamatsu (Sony)
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Matching Markets with Chores
Jugal Garg (University of Illinois at Urbana-Champaign), Thorben Tröbst (University of California, Irvine), Vijay V. Vazirani (University of California, Irvine)
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Learning Bayesian Game Families, with Application to Mechanism Design
Madelyn Gatchel (University of Michigan), Michael P. Wellman (University of Michigan)
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ChatBDI: Think BDI, Talk LLM
Andrea Gatti (DIBRIS – University of Genoa), Viviana Mascardi (DIBRIS – University of Genoa), Angelo Ferrando (DSFIM – University of Modena-Reggio Emilia)
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Satisfactory Budget Division
Laurent Gourvès (Université Paris-Dauphine, Université PSL, CNRS, LAMSADE), Michael Lampis (Université Paris-Dauphine, Université PSL, CNRS, LAMSADE), Nikolaos Melissinos (Czech Technical University of Prague), Aris Pagourtzis (National Technical University of Athens & Archimedes/Athena RC)
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Social Ranking for Feature Selection
Laurent Gourvès (LAMSADE, CNRS, Université Paris-Dauphine, Université PSL), Stefano Moretti (LAMSADE, CNRS, Université Paris-Dauphine, Université PSL), Satya Tamby (LAMSADE, CNRS, Université Paris-Dauphine, Université PSL)
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Can you see how I learn? Human Observers' Inferences about Reinforcement Learning Agents' Learning Processes
Bernhard Hilpert (Leiden University), Muhan Hou (Vrije Universiteit Amsterdam), Kim Baraka (Vrije Universiteit Amsterdam), Joost Broekens (Leiden University)
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Making Universal Policies Universal
Niklas Hoepner (University of Amsterdam), David Kuric (University of Amsterdam), Herke van Hoof (University of Amsterdam)
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Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization
Shengchao Hu (Shanghai Jiao Tong University), Wanru Zhao (University of Cambridge), Weixiong Lin (Shanghai Jiao Tong University), Li Shen (Sun Yat-sen University), Ya Zhang (Shanghai Jiao Tong University), Dacheng Tao (Nanyang Technological University)
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Fair Assignment on Multi-Stage Graphs
Vibulan J (IIITDM Kancheepuram), Swapnil Dhamal (Indian Institute of Technology Ropar), Shweta Jain (Indian Institute of Technology Ropar), Ojassvi Kumar (Indian Institute of Technology Ropar), Aman Kumar (Indian Institute of Technology Ropar), Harpreet Singh (Indian Institute of Technology Ropar)
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Decoding Negotiation Dynamics: The Impact of Opponent Identity and Privacy on Strategy, Deception, and Emotional Transparency in Human-Agent Interaction
Nusrath Jahan (University of Central Florida), Johnathan Mell (University of Central Florida)
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Predicting Team Performance from Communications in Simulated Search-and-Rescue
Ali Jalal-Kamali (University of Southern California), Nikolos M. Gurney (University of Southern California), David V. Pynadath (Rice University)
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FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation
Wenzheng Jiang (National University of Defense Technology), Ji Wang (National University of Defense Technology), Xiongtao Zhang (National University of Defense Technology), Weidong Bao (National University of Defense Technology), Cheston Tan (CFAR, A*STAR), Flint Xiaofeng Fan (National University of Singapore)
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When to Stop Getting Tested: The Theory of Diagnostic Tests
Anson Kahng (University of Rochester), Joseph Saber (University of Rochester)
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Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination
Siva Kailas (Georgia Institute of Technology), Shalin Jain (Georgia Institute of Technology), Harish Ravichandar (Georgia Institute of Technology)
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Resource Allocation under the Latin Square Constraint
Yasushi Kawase (The University of Tokyo), Bodhayan Roy (Indian Institute of Technology Kharagpur), Mohammad Azharuddin Sanpui (Indian Institute of Technology Kharagpur)
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RallyDiffuser: A Representation-Guided Diffusion Model Framework for Strategic Planning in Badminton
Bing-Zhi Ke (Department of Computer Science, National Yang Ming Chiao Tung University), Kuang-Da Wang (Department of Computer Science, National Yang Ming Chiao Tung University), Wen-Chih Peng (Department of Computer Science, National Yang Ming Chiao Tung University)
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Adaptive Microtolling in Competitive Online Congestion Games via Multiagent Reinforcement Learning
Behrad Koohy (University of Southampton), Sebastian Stein (University of Southampton), Enrico Gerding (University of Southampton)
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Compensating Latent Nonlinear Dynamics for Practical Consensus Control
Krzysztof Kowalczyk (Wroclaw University of Science and Technology), Dominik Baumann (Aalto University), Cristian R. Rojas (KTH Royal Institute of Technology), Pawel Wachel (Wroclaw University of Science and Technology)
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Online Competitive Information Gathering for Partially Observable Trajectory Games
Mel Krusniak (Vanderbilt University), Hang Xu (Vanderbilt University), Parker Palermo (Vanderbilt University), Forrest Laine (Vanderbilt University)
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DECAF: Learning to be Fair in Multi-agent Resource Allocation
Ashwin Kumar (Washington University in St. Louis), William Yeoh (Washington University in St. Louis)
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Truman: A Large Language Model-based Multi-agent Simulator for Synthetic Money Laundering Data Generation
Dattatray Vishnu Kute (The University of New South Wales), Zihao Xu (The University of New South Wales), Yuekang Li (The University of New South Wales), Fethi Rabhi (The University of New South Wales)
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Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning
Dmytro Kuzmenko (National University of Kyiv-Mohyla Academy), Nadiya Shvai (National University of Kyiv-Mohyla Academy & Cyclope.ai)
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Model of the Influence of External Signals on the Trust of the Agent in Multi Agent System
Frédérique Lalieu (Complex Cyber Infrastructure, Informatics Institute, Faculty of Science, University of Amsterdam), Tomasz Zurek (Complex Cyber Infrastructure, Informatics Institute, Faculty of Science, University of Amsterdam), Tom van Engers (University of Amsterdam & TNO / Leibniz Institute)
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To Stand on the Shoulders of Giants: Should We Protect Initial Discoveries in Multi-Agent Exploration?
Hodaya Lampert (State Comptroller Office), Reshef Meir (Technion—Israel Institute of Technology), Kinneret Teodorescu (Technion—Israel Institute of Technology)
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Equilibrium Selection via Communication Partition
Wei-Chen Lee (University of Oxford), Alessandro Abate (University of Oxford), Michael Wooldridge (University of Oxford)
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Observer-Aware Probabilistic Planning under Partial Observability
Salomé Lepers (Univ. de Lorraine, CNRS, Inria, Loria), Vincent Thomas (Univ. de Lorraine, CNRS, Inria, Loria), Olivier Buffet (Univ. de Lorraine, CNRS, Inria, Loria)
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Offline Meta Reinforcement Learning with Weighted Policy Constraints and Proximal Context Collection
Haorui Li (State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, CAS & School of Artificial Intelligence, UCAS), Jiaqi Liang (State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, CAS), Linjing Li (State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, CAS & School of Artificial Intelligence, UCAS), Daniel Zeng (State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, CAS & School of Artificial Intelligence, UCAS)
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Group-fair Facility Location Games with Externalities
Minming Li (City University of Hong Kong), Cheng Peng (Shanghai Jiao Tong University), Ying Wang (City University of Hong Kong & Columbia University), Houyu Zhou (UNSW Sydney)
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Lite-DIO Is Actually What You Need for Efficient Inertial Localization
Yan Li (The School of Systems Science and Engineering, Sun Yat-Sen University), Meng Liu (College of Intelligent Systems Science and Engineering, Harbin Engineering University), Zhongchen Shi (Defense Innovation Institute, Academy of Military Sciences (AMS), Yanqing Hou (The School of Systems Science and Engineering, Sun Yat-Sen University), Liang Xie (Defense Innovation Institute, National University of Defense Technology & Tsinghua University), Hongbo Chen (The School of Systems Science and Engineering, Sun Yat-Sen University), Erwei Yin (Defense Innovation Institute, Academy of Military Sciences (AMS)
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Diversity-seeking Swap Games in Networks
Yaqiao Li (Faculty of Comp. Sci. and Control Eng., Shenzhen University of Advanced Technology), Lata Narayanan (Dept of Computer Science and Software Engineering, Concordia University), Jaroslav Opatrny (Dept of Computer Science and Software Engineering, Concordia University), Yi Tian Xu (Independent Researcher)
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Fusing Physical and Cognitive Stimuli: An Eye Movement Emotion Recognition Framework Based on Hierarchical Attention Mechanism
Zhilin Li (Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education & Guangxi Key Lab of Multi-Source Information Mining and Security, Guangxi Normal University), Xiaomei Tao (Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education & Guangxi Key Lab of Multi-Source Information Mining and Security, Guangxi Normal University)
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What Is a Counterfactual Cause in Action Theories?
Daxin Liu (Nanjing University), Vaishak Belle (The University of Edinburgh)
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Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning
Lunjun Liu (College of Electrical and Information Engineering , Hunan University & Greater Bay Area Institute for Innovation, Hunan University), Weilai Jiang (College of Electrical and Information Engineering , Hunan University & Greater Bay Area Institute for Innovation, Hunan University), Yaonan Wang (College of Electrical and Information Engineering , Hunan University & Greater Bay Area Institute for Innovation, Hunan University)
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Policies with Sparse Inter-Agent Dependencies in Dynamic Games: A Dynamic Programming Approach
Xinjie Liu (The University of Texas at Austin), Jingqi Li (University of California, Berkeley), Filippos Fotiadis (The University of Texas at Austin), Mustafa O. Karabag (The University of Texas at Austin), Jesse Milzman (Army Research Laboratory), David Fridovich-Keil (The University of Texas at Austin), Ufuk Topcu (The University of Texas at Austin)
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Adaptive Offline Data Replay in Offline-to-Online Reinforcement Learning
Xu Liu (Shanghai Jiao Tong University), Tong Yu (Adobe Research), Shuai Li (Shanghai Jiao Tong University)
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RainbowArena: A Multi-Agent Toolkit for Reinforcement Learning and Large Language Models in Competitive Tabletop Games
Yingzhuo Liu (Beijing University of Posts and Telecommunications), Shuodi Liu (Beijing University of Posts and Telecommunications), Hongsong Tang (Beijing University of Posts and Telecommunications), Yubing Ma (Beijing University of Posts and Telecommunications), Zikang Li (Beijing University of Posts and Telecommunications), Junge Zhang (Institute of Automation, Chinese Academy of Science), Liuyu Xiang (Beijing University of Posts and Telecommunications), Zhaofeng He (Beijing University of Post and Telecommunication)
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CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning
Zeyuan Liu (Tsinghua Shenzhen International Graduate School, Tsinghua University), Kai Yang (Tsinghua Shenzhen International Graduate School, Tsinghua University), Jiafei Lyu (Tsinghua Shenzhen International Graduate School, Tsinghua University), Xiu Li (Tsinghua Shenzhen International Graduate School, Tsinghua University)
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Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools
Panagiotis Lymperopoulos (Tufts University), Vasanth Sarathy (Tufts University)
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Mitigating Non-Stationarity in Deep Reinforcement Learning with Clustering Orthogonal Weight Modification
Guoqing Ma (Institute of automation, Chinese Academy of Sciences & School of Future Technology, University of Chinese Academy of Sciences), Yuhan Zhang (Institute of automation, Chinese Academy of Sciences & School of Future Technology, University of Chinese Academy of Sciences), Yuming Dai (Institute of automation, Chinese Academy of Sciences & School of Future Technology, University of Chinese Academy of Sciences), Guangfu Hao (Institute of automation, Chinese Academy of Sciences & School of Future Technology, University of Chinese Academy of Sciences), Yang Chen (Institute of Automation, Chinese Academy of Sciences & Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences), Shan Yu (Institute of Automation, Chinese Academy of Sciences, School of Future Technology, University of Chinese Academy of Sciences, and Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences)
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DyLam: A Dynamic Reward Weighting Framework for Reinforcement Learning Algorithms
Mateus Machado (Centro de Informática - UFPE), Hansenclever Bassani (Centro de Informática - UFPE)
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IBGP: Imperfect Byzantine Generals Problem for Zero-Shot Robustness in Communicative Multi-Agent Systems
Yihuan Mao (Institute for Interdisciplinary Information Sciences, Tsinghua University), Yipeng Kang (State Key Laboratory of General Artificial Intelligence, BIGAI), Peilun Li (Shanghai Tree Graph Blockchain Research Institute), Ning Zhang (Washington University in St. Louis), Wei Xu (Institute for Interdisciplinary Information Sciences, Tsinghua University), Chongjie Zhang (Washington University in St. Louis)
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AlphaZeroES: Direct Score Maximization Outperforms Planning Loss Minimization
Carlos Martin (Carnegie Mellon University), Tuomas Sandholm (Carnegie Mellon University, Strategy Robot, Inc., Optimized Markets, Inc., & Strategic Machine, Inc.)
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Learning Fair and Preferable Allocations through Neural Network
Ryota Maruo (Kyoto University), Koh Takeuchi (Kyoto University), Hisashi Kashima (Kyoto University)
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Rethinking Explainable AI: Explanations can be Deceiving
Peta Masters (King's College London), Daniel Gallagher (Monash University), Luc Moreau (University of Sussex), Mor Vered (Monash University)
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Where is the Nearest EV Charging Station? Evolutionary Optimization of the Gas/charging Stations Topology
Enrique Mateos-Melero (Universidad Carlos III de Madrid), Javier Moralejo-Piñas (Universidad Carlos III de Madrid), Ángela Durán-Pinto (Universidad Carlos III de Madrid), Francisco Martinez-Gil (Universidad de Valencia), María Soriano (REPSOL Technology Lab), Fernando Fernández (Universidad Carlos III de Madrid)
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Predictive Improvement through Latent Space Optimisation
Alexander McCaffrey (City, University of London), Eduardo Alonso (City, University of London), Esther Mondragon (City, University of London)
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Dynamic Option Creation in Option-Critic Reinforcement Learning
Mateus B. Melchiades (Universidade Vale do Rio dos Sinos), Gabriel de O. Ramos (Universidade Vale do Rio dos Sinos), Bruno C. da Silva (University of Massachusetts, Amherst)
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Adapting Beyond the Depth Limit: Counter Strategies in Large Imperfect Information Games
David Milec (AI Center, FEE, CTU in Prague), Vojtĕch Kovařík (AI Center, FEE, CTU in Prague), Viliam Lisý (AI Center, FEE, CTU in Prague)
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Context Adaptive Memory-Efficient LLM Inference for Edge Multi-Agent Systems
Hamza Mohammed (Samsung Research America), Hang Yin (Samsung Research America), Sai Chand Boyapati (Samsung Research America)
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Learning Heterogeneous Agent Collaboration in Decentralized Multi-Agent Systems via Intrinsic Motivation
Jahir Sadik Monon (University of Dhaka), Deeparghya Dutta Barua (University of Dhaka), Md Mosaddek Khan (University of Dhaka)
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Improving the Effectiveness of Potential-based Reward Shaping in Reinforcement Learning
Henrik Müller (L3S Research Center), Daniel Kudenko (L3S Research Center)
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Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity
Calarina Muslimani (University of Alberta), Bram Grooten (Eindhoven University of Technology), Deepak R.S. Mamillapalli (University of Alberta), Mykola Pechenizkiy (Eindhoven University of Technology), Decebal C. Mocanu (University of Luxemburg), Matthew E. Taylor (University of Alberta & Alberta Machine Intelligence Institute)
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A Minimalist Approach to Augmentation-based Self-supervised Representation Learning for On-policy Reinforcement Learning
Nasik Muhammad Nafi (Kansas State University), William Hsu (Kansas State University)
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Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences
Dung Nguyen (Applied Artificial Intelligence Institute (A2I2), Deakin University), Hung Le (Applied Artificial Intelligence Institute (A2I2), Deakin University), Kien Do (Applied Artificial Intelligence Institute (A2I2), Deakin University), Sunil Gupta (Applied Artificial Intelligence Institute (A2I2), Deakin University), Svetha Venkatesh (Applied Artificial Intelligence Institute (A2I2), Deakin University), Truyen Tran (Applied Artificial Intelligence Institute (A2I2), Deakin University)
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Stochastic $k$-Submodular Bandits with Full Bandit Feedback
Guanyu Nie (Iowa State University), Vaneet Aggarwal (Purdue University), Christopher John Quinn (Iowa State University)
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Reasoning and Planning with Dynamic Social Norms
Taylor Olson (Northwestern University), Roberto Salas-Damian (Northwestern University), Kenneth D. Forbus (Northwestern University)
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Multi-Objective Reinforcement Learning for Water Management
Zuzanna Osika (Delft University of Technology), Roxana Rădulescu (Utrecht University), Jazmin Zatarain-Salazar (Delft University of Technology), Frans A. Oliehoek (Delft University of Technology), Pradeep K. Murukannaiah (Delft University of Technology)
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Decentralized Deep Reinforcement Learning for Cooperative Multi-Agent Flight Trajectory Planning in Adverse Weather
Bizhao Pang (Air Traffic Management Research Institute, Nanyang Technological University), Xinting Hu (Air Traffic Management Research Institute, Nanyang Technological University), Mingcheng Zhang (Air Traffic Management Research Institute, Nanyang Technological University), Sameer Alam (Air Traffic Management Research Institute, Nanyang Technological University), Guglielmo Lulli (Dept of Informatics, Systems and Communication, University of Milano-Bicocca)
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Learning to Explore when Mistakes are Not Allowed
Charly Pecqueux-Guézénec (Sorbonne Université, CNRS, ISIR), Stéphane Doncieux (Sorbonne Université, CNRS, ISIR), Nicolas Perrin-Gilbert (Sorbonne Université, CNRS, ISIR)
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Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields
Arseniy Pertzovsky (Ben-Gurion University of the Negev), Roni Stern (Ben-Gurion University of the Negev), Ariel Felner (Ben-Gurion University of the Negev), Roie Zivan (Ben-Gurion University of the Negev)
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Diverse Heterogeneous Graph Conditioned Diffusion for Multi-Agent Teaming
Luis Pimentel (Georgia Institute of Technology), Sean Ye (Georgia Institute of Technology), James Ellis Grant Pagan (Sandia National Laboratories), Matthew Gombolay (Georgia Institute of Technology)
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Enhancing Robot Navigation Policies with Task-Specific Uncertainty Management
Gokul Puthumanaillam (University of Illinois Urbana-Champaign), Paulo Padrao (Florida International University), Jose Fuentes (Florida International University), Leonardo Bobadilla (Florida International University), Melkior Ornik (University of Illinois Urbana-Champaign)
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Transformer Guided Coevolution: Improved Team Formation in Multiagent Adversarial Games
Pranav Rajbhandari (Carnegie Mellon University), Prithviraj Dasgupta (Naval Research Laboratory), Donald Sofge (Naval Research Laboratory)
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Shapley Value-based Approach for Distributing Revenue of Matchmaking of Private Transactions in Blockchains
Rasheed (IIIT Hyderabad), Parth Nimish Desai (IIIT Hyderabad), Yash Chaurasia (IIIT Hyderabad), Sujit Gujar (IIIT Hyderabad)
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Requirements-based Explainability for Multi Agent Systems
Sebastian Rodriguez (RMIT University), John Thangarajah (RMIT University), Michael Winikoff (Victoria University of Wellington)
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Towards Automating the Design of Value-Aligned Clinical Protocols
Manel Rodriguez-Soto (Artificial Intelligence Research Institute (IIIA-CSIC), Nardine Osman (Artificial Intelligence Research Institute (IIIA-CSIC), Carles Sierra (Artificial Intelligence Research Institute (IIIA-CSIC), Rocio Cintas-Garcia (Hospital del Mar Research Institute (IMIM), Cristina Farriols-Danes (Hospital del Mar Research Institute (IMIM), Montserrat Garcia-Retortillo (Hospital del Mar Research Institute (IMIM), Silvia Minguez-Maso (Hospital del Mar Research Institute (IMIM), Jordi Martinez-Roldan (Hospital Sant Joan de Deu (SJD)
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Liquid Welfare and Revenue Monotonicity in Adaptive Clinching Auctions
Ryosuke Sato (Keio University)
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On the Existence of EFX Allocations in Multigraphs
Alkmini Sgouritsa (Athens University of Economics and Business, and Archimedes/Athena RC), Minas Marios Sotiriou (National and Kapodistrian University of Athens, and National Technical University of Athens, and Athens University of Economics and Business)
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Environmental Policies within Cournot Oligopoly
Liang Shan (Renmin University of China), Zhengyang Liu (Beijing Institute of Technology), Haoqiang Huang (Hong Kong University of Science and Technology), Zihe Wang (Renmin University of China)
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Negotiated Reasoning: On Provably Addressing Relative Over-Generalization
Junjie Sheng (East China Normal University), Wenhao Li (Tongji University), Bo Jin (Tongji University), Hongyuan Zha (The Chinese University of Hong Kong, Shenzhen), Jun Wang (East China Normal University), Xiangfeng Wang (East China Normal University & Shanghai Formal-Tech Information Technology Co., Lt)
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Towards Fair and Efficient Policy Learning in Cooperative Multi-Agent Reinforcement Learning
Umer Siddique (University of Texas San Antonio), Peilang Li (University of Texas San Antonio), Yongcan Cao (University of Texas San Antonio)
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Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense
Aditya Vikram Singh (Northeastern University), Ethan Rathbun (Northeastern University), Emma Graham (Dartmouth College), Lisa Oakley (Northeastern University), Simona Boboila (Northeastern University), Peter Chin (Dartmouth College), Alina Oprea (Northeastern University)
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PANDA: Priority-Based Collision Avoidance Framework for Heterogeneous UAVs Navigating in Dense Airspace
Agamdeep Singh (IISER Bhopal), Jaskirat Singh (University of Petroleum and Energy Studies), P.B. Sujit (IISER Bhopal)
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Modeling the Collaborative Edge Data Caching Problem via a Dynamic DCOP
Ziyang Song (College of Computer Science, Chongqing University), Ziyu Chen (College of Computer Science, Chongqing University), Jinhui Huang (College of Computer Science, Chongqing University), Cheng Zhang (College of Computer Science, Chongqing University), Jingyuan He (College of Computer Science, Chongqing University)
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Pure Nash Equilibrium and Strong Nash Equilibrium Computation in Additive Aggregate Games
Jared Soundy (The Beacom College of Computer & Cyber Sciences, Dakota State University), Mohammad T. Irfan (Department of Computer Science, Bowdoin College), Hau Chan (School of Computing, University of Nebraska-Lincoln)
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Coordinating Competing Electric Vehicle Fleets: An Agent-Based Charging Capacity Market
Lennard Sund (University of Cologne), Janik Muires (University of Cologne), Ramin Ahadi (University of Cologne), Konstantina Valogianni (IE University), Wolfgang Ketter (University of Cologne)
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Regret Guarantees for a UCB-based Algorithm for Volatile Combinatorial Bandits
Abhishek Kumar (International Institute of Information Technology, Hyderabad), Andra Siva Sai Teja (Indian Institute of Technology Hyderabad), Ganesh Ghalme (Indian Institute of Technology Hyderabad), Sujit Gujar (International Institute of Information Technology, Hyderabad), Y. Narahari (Indian Institute of Science)
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Practical Comparisons of Reservoir Topology Performance and Input Distribution in Digital Reservoir Computers
Lewis Thelen (University of Cincinnati), Vikram Ravindra (University of Cincinnati)
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Dynamic Reward Sharing to Enhance Learning in the Context of Multiagent Teams
Kyle Tilbury (University of Waterloo), David Radke (Chicago Blackhawks)
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Cultural Evolution of Cooperation among LLM Agents
Aron Vallinder (PIBBSS), Edward Hughes (Google DeepMind)
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Distributed Value Decomposition Networks with Networked Agents
Guilherme S. Varela (Instituto Superior Técnico, INESC-ID), Alberto Sardinha (PUC-Rio), Francisco S. Melo (Instituto Superior Técnico, INESC-ID)
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Shifting Power: Leveraging LLMs to Simulate Human Aversion in ABMs of Bilateral Financial Exchanges, A bond market study
Alicia Vidler (UNSW), Toby Walsh (UNSW)
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Trading-off Accuracy and Communication Cost in Federated Learning
Mattia Jacopo Villani (King's College London), Emanuele Natale (Université Côte d’Azur), Frederik Mallmann-Trenn (King's College London)
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Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Learning
Chulabhaya Wijesundara (Northeastern University, STR), Andrea Baisero (Northeastern University), Gregory Castañón (STR), Alan Carlin (STR), Robert Platt (Northeastern University), Christopher Amato (Northeastern University)
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Will Systems of LLM Agents Lead to Cooperation: An Investigation into a Social Dilemma
Richard Willis (King's College London), Yali Du (King's College London), Joel Z. Leibo (Google DeepMind)
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Combining Normative Ethics Principles to Learn Prosocial Behaviour
Jessica Woodgate (University of Bristol), Nirav Ajmeri (University of Bristol)
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On-Policy Reinforcement Learning From Failure via Sparse Reward Densification
Mingkang Wu (University of Texas at San Antonio), Yongcan Cao (University of Texas at San Antonio)
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Integrating Large Language Models with Reinforcement Learning for Generalization in Strategic Card Games
Wannian Xia (School of Artificial Intelligence, University of Chinese Academy of Sciences), Meng Fang (University of Liverpool), Zihao Guo (King's College London), Yali Du (King's College London), Bo Xu (Institute of Automation, Chinese Academy of Sciences)
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Heuristics-Assisted Experience Replay Strategy for Cooperative Multi-Agent Reinforcement Learning
Yi Xie (FAET, Fudan University), Ziqing Zhou (FAET, Fudan University), Chun Ouyang (FAET, Fudan University), Siao Liu (Fudan University), Linqiang Hu (Fudan University), Zhongxue Gan (Fudan University)
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Empowering Generalization for Deep Reinforcement Learning via Symbolic Planning
Tianpei Yang (Nanjing University), Srijita Das (University of Michigan - Dearborn), Christabel Wayllace (New Mexico State University), Matthew E. Taylor (University of Alberta and Amii)
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Efficient Model Checking with Semantically-Equivalent Models for vGOAL
Yi Yang (imec-DistriNet, KU Leuven), Tom Holvoet (imec-DistriNet, KU Leuven)
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Using Assistance Rewards Without Introducing Bias: Overcoming Sparse Rewards in Multi-Agent Reinforcement Learning
Yue Yang (Monash University), Bernd Meyer (Monash University), Frits de Nijs (Monash University)
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CPE: A New Paradigm for Policy Extraction in Offline Reinforcement Learning
Zhaohui Yang (Institute of Automation, Chinese Academy of Sciences), Xiaoxuan Wang (Institute of Automation, Chinese Academy of Sciences), Linjing Li (Institute of Automation, Chinese Academy of Sciences)
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Learning Pre-Trained Tacit Behavior for Efficient Multi-Agent Adversarial Coordination
Shiqing Yao (Tsinghua Shenzhen International Graduate School, Tsinghua University), Jiajun Chai (Institute of Automation, Chinese Academy of Sciences), Haixin Yu (Tsinghua Shenzhen International Graduate School, Tsinghua University), Yongzhe Chang (Tsinghua Shenzhen International Graduate School, Tsinghua University), Yuanheng Zhu (Institute of Automation, Chinese Academy of Sciences), Xueqian Wang (Tsinghua Shenzhen International Graduate School, Tsinghua University)
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Local Anomaly Detection with Partial Observation in Multi-agent Systems as a Data Matching Game
Zixin Ye (University of Melbourne), Tansu Alpcan (University of Melbourne), Christopher Leckie (University of Melbourne)
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Fast Adaption by Policy Deviation Integral Meta-reinforcement Learning with Applications to High-speed Trains Operation
Haotong Zhang (Chongqing Jiaotong University), Wanyuan Wang (Southeast University)
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Enhancing Offline Safe Reinforcement Learning with Trajectory-Constrained Diffusion Planning
Hengrui Zhang (Beijing Jiaotong University, Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence), Youfang Lin (Beijing Jiaotong University, Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence), Shuo Shen (Interactive Entertainment Group, Tencent), Hanfeng Lin (Beijing Jiaotong University, Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence), Peng Cheng (Beijing Jiaotong University, Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence), Sheng han (Beijing Jiaotong University , Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence), Kai Lv (Beijing Jiaotong University, Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence)
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SFedRec: A Federated Learning Framework for Dynamic Session-based Recommendation
Hexiao Zhang (School of Computer and Information Science, Southwest University), Yanni Tang (University of Auckland), Jiamou Liu (University of Auckland), Wu Chen (School of Computer and Information Science, Southwest University)
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Experience-replay Innovative Dynamics
Tuo Zhang (University of Birmingham), Leonardo Stella (University of Birmingham), Julian Barreiro-Gomez (Khalifa University)
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Efficient Training of Generalizable Visuomotor Policies via Control-Aware Augmentation
Yinuo Zhao (Beijing Institute of Technology), Kun Wu (Beijing Innovation Center of Humanoid Robotics), Tianjiao Yi (Beijing Institute of Technology), Zhiyuan Xu (Beijing Innovation Center of Humanoid Robotics), Zhengping Che (Beijing Innovation Center of Humanoid Robotics), Chi Harold Liu (Beijing Institute of Technology), Jian Tang (Beijing Innovation Center of Humanoid Robotics)
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Multi-Agent Systems for Bullying Intervention
Luis Zhinin-Vera (University of Castilla-La Mancha), José J. González-García (University of Castilla-La Mancha), Víctor López-Jaquero (University of Castilla-La Mancha), Elena Navarro (University of Castilla-La Mancha), Pascual González (University of Castilla-La Mancha)
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CADP: Towards Better Centralized Learning for Decentralized Execution in MARL
Yihe Zhou (Zhejiang University), Shunyu Liu (Nanyang Technological University), Yunpeng Qing (Zhejiang University), Tongya Zheng (Big Graph Center, Hangzhou City University), Kaixuan Chen (State Key Laboratory of BC&DS, Zhejiang University), Jie Song (State Key Laboratory of BC&DS, Zhejiang University), Mingli Song (State Key Laboratory of BC&DS, Zhejiang University)
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Reducing Variance Caused by Communication in Decentralized Multi-agent Deep Reinforcement Learning
Changxi Zhu (Utrecht University), Mehdi Dastani (Utrecht University), Shihan Wang (Utrecht University)
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Multimodal Agentic Model Predictive Control
Saptarashmi Bandyopadhyay (Department of Computer Science, University of Maryland), John (Jack) Cole (Department of Computer Science, University of Maryland), Tom Goldstein (Department of Computer Science, University of Maryland), David Jacobs (Department of Computer Science, University of Maryland)
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Safe Systems with Unsafe Agents: Challenges and Opportunities
Jeremy Bellay (Battelle Memorial Institute), J. Timothy Balint (Battelle Memorial Institute), Stephen A. Boxwell (Battelle Memorial lnstitute), Jeffrey Geppert (Battelle Memorial Institute)
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Contesting Black-Box AI Decisions
Virginia Dignum (Umeå University), Loizos Michael (Open University of Cyprus & CYENS Center of Excellence), Juan Carlos Nieves (Umeå University), Marija Slavkovik (University of Bergen), Julliett Suarez (University of Granada), Andreas Theodorou (Universitat Politècnica de Catalunya)
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The Next Level of Long-Term Agent Autonomy -- Proactively Acquiring Knowledge and Abilities
Hermine J. Grosinger (Örebro University)
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Tyranny of the Minority in Social Choice: a Call to Arms
Reshef Meir (Technion-Israel Institute of technology)
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Tackling the Protocol Problem in Automated Negotiation
Yasser Mohammad (NEC CORPORATION)
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Grounding Agent Reasoning in Image Schemas: A Neurosymbolic Approach to Embodied Cognition
Francois Olivier (CRIL CNRS & Artois University), Zied Bouraoui (CRIL CNRS & Artois University)
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Market-based Architectures in RL and Beyond
Abhimanyu Pallavi Sudhir (University of Warwick), Long Tran-Thanh (University of Warwick)
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Empirical Hardness in Multi-Agent Pathfinding: Research Challenges and Opportunities
Jingyao Ren (University of Southern California), Eric Ewing (Brown University), T. K. Satish Kumar (University of Southern California), Sven Koenig (University of California, Irvine), Nora Ayanian (Brown University)
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Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
James Rudd-Jones (Centre for Artificial Intelligence, Department of Computer Science, University College London), Mirco Musolesi (Centre for Artificial Intelligence, Department of Computer Science , University College London & Department of Computer Science and Engineering, University of Bologna), María Pérez-Ortiz (Centre for Artificial Intelligence, Department of Computer Science, University College London)
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Unlocking the Potential of Decentralized LLM-based MAS: Privacy Preservation and Monetization in Collective Intelligence
Yingxuan Yang (Shanghai Jiao Tong University), Qiuying Peng (OPPO Research Institute), Jun Wang (OPPO Research Institute), Ying Wen (Shanghai Jiao Tong University & SII), Weinan Zhang (Shanghai Jiao Tong University & SII)
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Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact
Yunfan Zhao (Harvard University & GE Healthcare), Niclas Boehmer (Harvard University & Hasso Plattner Institute), Aparna Taneja (Google Deepmind), Milind Tambe (Harvard University & Google Deepmind)
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Responsible Autonomy for Hybrid Intelligence
Anastasia S. Apeiron (Utrecht University)
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Learning Diverse Multiagent Behaviors
Ayhan Alp Aydeniz (Collaborative Robotics and Intelligent Systems Institute, Oregon State University)
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Role of State in Partially Observable Reinforcement Learning
Andrea Baisero (Northeastern University)
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Balancing Fairness and Efficiency in the Allocation of Indivisible Goods
Karen Frilya Celine (National University of Singapore)
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Human Influences on Decision Making in Multi-Agent Systems
Daniel E. Collins (University of Bristol)
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Collective Decision Making via Automated Reasoning
Ari Conati (University of Helsinki)
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Game-Family Learning for Simulation-Based Games
Madelyn Gatchel (University of Michigan)
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Hierarchical Frameworks for Scaling-up Multi-agent Coordination
Minghong Geng (Singapore Management University)
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Influence Based Reward Shaping in Multiagent Systems
Everardo Gonzalez (Oregon State University)
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Informed Decision-Making via Voting
Qishen Han (Rutgers University)
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Causality in Multi-Agent Systems
Sylvia S. Kerkhove (Utrecht University)
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Efficient Offline Reinforcement Learning Through Dataset Characterization and Reduction
Enrique Mateos-Melero (Universidad Carlos III de Madrid)
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Environment-Centered Design of Ethical Environments
Arnau Mayoral-Macau (Artificial Intelligence Research Institute (IIIA-CSIC)
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Modeling and Optimizing Agent-Based Model of Conflict-Induced Forced Migration
Zakaria Mehrab (University of Virginia)
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Safe Multi-Agent Learning via Shielding in Decentralized Environments
Daniel Melcer (Northeastern University)
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Agent-Based Modeling of Smart Sustainable Mobility Services, Markets, and Policy
Janik Muires (University of Cologne)
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Humanlike Emergent Language in Multi-Agent Systems
Jannik Peters (University of Wuppertal)
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The Impact of Artificial Agents in Human Cooperation Through Indirect Reciprocity
Alexandre S. Pires (University of Amsterdam)
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Bi-Level Reinforcement Learning for Multi-Robot Systems
Arjun Prakash (Brown University)
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Multi-Agent Multi-Objective Planning with Contextual Lexicographic Reward Preferences
Pulkit Rustagi (Oregon State University)
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Deep Learning approaches to Goal Recognition
Lorenzo Serina (Information Engineering, Università degli Studi di Brescia)
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Different Models for Fair and Efficient Resource Allocation
Bin Sun (Institut für Informatik, TU Clausthal)
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Ethical Decision-Making in Multi-Agent Systems
Jessica Woodgate (University of Bristol)
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Learning with Less Effort: Efficient Training and Generalization in (Multi-)Robot Systems
Peihong Yu (University of Maryland)
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FindMe: A Prototype Videogame AI based on CTL with an Optimized Synthesis Algorithm
Marco Aruta (University of Naples Federico II), Vadim Malvone (Télécom Paris), Aniello Murano (University of Naples Federico II), Vincenzo Pio Palma (University of Naples Federico II), Salvatore Romano (University of Naples Federico II)
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[COMP24] The Automated Negotiating Agents Competition (ANAC) 2024 Challenges and Results
Reyhan Aydogan (Özyegin Üniversity and Delft University of Technology), Tim Baarslag (Centrum Wiskunde & Informatica (CWI) and Eindhoven University of Technology), Tamara C.P. Florijn (Centrum Wiskunde & Informatica (CWI) and Utrecht University), Katsuhide Fujita (Tokyo University of Agriculture and Technology & National Institute for Advanced Industrial Science and Technology), Catholijn M. Jonker (Delft University of Technology and Leiden University), Yasser Mohammad (NEC CORPORATION & National Institute for Advanced Industrial Science and Technology)
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A JAX-Accelerated Simulation Framework for Multi-Agent Energy Management in Energy Communities
Hicham Azmani (Vrije Universiteit Brussel), Andries Rosseau (Vrije Universiteit Brussel), Marjon Blondeel (Vrije Universiteit Brussel), Ann Nowé (Vrije Universiteit Brussel)
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Orpheus: Programming Protocol-Based BDI Agents
Matteo Baldoni (University of Turin), Samuel H. Christie (North Carolina State University), Munindar P. Singh (North Carolina State University), Amit K. Chopra (University of Lancaster)
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LUNAR: A Runtime Verification Tool for Anomaly Detection in Gas Networks
Julius Gasson (Imperial College), Francesco Belardinelli (Imperial College)
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BitML2MCMAS: Strategic Reasoning for Bitcoin Smart Contracts
Luigi Bellomarini (Bank of Italy), Marco Favorito (Bank of Italy), Giuseppe Galano (Bank of Italy)
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Recommending Green Routes for Pedestrians to Reduce the Exposure to Air Pollutants in Barcelona
Filippo Bistaffa (IIIA-CSIC), Sergio Calo Oliveira (Pompeu Fabra University)
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Serious Games for Ethical Preference Elicitation
Jayati Deshmukh (University of Southampton), Zijie Liang (University of Southampton), Vahid Yazdanpanah (University of Southampton), Sebastian Stein (University of Southampton), Savapali D. Ramchurn (University of Southampton)
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VITAMIN: VerIficaTion of A MultI ageNt system
Angelo Ferrando (University of Modena and Reggio Emilia), Vadim Malvone (LTCI, Télécom Paris, Institut Polytechnique de Paris)
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CRLLK: Constrained Reinforcement Learning for Lane Keeping in Autonomous Driving
Xinwei Gao (Nanyang Technological University), Arambam James Singh (Nanyang Technological University), Gangadhar Royyuru (Indian Institute of Technology), Michael Yuhas (Nanyang Technological University), Arvind Easwaran (Nanyang Technological University)
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Leveraging Graph Structures and Large Language Models for End-to-End Synthetic Task-Oriented Dialogues
Maya Medjad (UCBL, CNRS, Centrale Lyon, INSA Lyon, Univ. Lumière Lyon 2, LIRIS, UMR5205 69622 Villeurbanne, France), Hugo Imbert (Reecall), Bruno Yun (UCBL, CNRS, Centrale Lyon, INSA Lyon, Univ. Lumière Lyon 2, LIRIS, UMR5205 69622 Villeurbanne, France), Raphaël Szymocha (Reecall), Frédéric Armetta (UCBL, CNRS, Centrale Lyon, INSA Lyon, Univ. Lumière Lyon 2, LIRIS, UMR5205 69622 Villeurbanne, France)
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Personalized Language Learning: A Multi-Agent System Leveraging LLMs for Teaching Luxembourgish.
Tebourbi Hedi (University of Luxemburg), Sana Nouzri (University of Luxemburg), Yazan Mualla (Université de Technologie de Belfort Montbéliard, UTBM, CIAD UR 7533), Amro Najjar (Luxembourg Institute of Science and Technology)
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Eva: An LLM-based Multilingual Voice-agent Network for Restaurant Operations
Zhiwei (Tony) Qin (foreva.ai (Eva), Jianming Zhou (foreva.ai (Eva)
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Simulating Tracking Data to Advance Sports Analytics Research
David Radke (Chicago Blackhawks), Kyle Tilbury (University of Waterloo)
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Chat4Elderly: A Multi-Agent System for Personalized Wellness Using Generative AI and Wearable Technology
Vítor Crista (GECAD, Polytechnic of Porto), Diogo Martinho (GECAD, Polytechnic of Porto), Goreti Marreiros (GECAD, Polytechnic of Porto)
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The Game Academy: Learn while playing, and play while learning!
Simon Rey (ILLC, University of Amsterdam), Ulle Endriss (ILLC, University of Amsterdam)
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Simulating Blockchain Applications in Large-Value Payment Systems through Agent-Based Modeling
Kenneth See (National University of Singapore), Nicholas MacGregor Garcia (National University of Singapore), Xiaofan Li (National University of Singapore)
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UAV Marketplace Simulation Tool for BVLOS Operations
Kivanç Şerefoğlu (Ozyegin University), Önder Gürcan (NORCE, Norwegian Research Center AS), Reyhan Aydoğan (Özyegin Űniversity and Delft University of Technology)
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SmartPilot:Agent-Based CoPilot for Intelligent Manufacturing
Chathurangi Shyalika (Artificial Intelligence Institute, University of South Carolina), Renjith Prasad (Artificial Intelligence Institute, University of South Carolina), Alaa Al Ghazo (Artificial Intelligence Institute, University of South Carolina), Darssan L. Eswaramoorthi (Artificial Intelligence Institute, University of South Carolina), Sara Shree Muthuselvam (Artificial Intelligence Institute, University of South Carolina), Amit Sheth (Artificial Intelligence Institute, University of South Carolina)
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Pabuviz.org: A Visualisation Platform to Explore Participatory Budgeting Elections
Markus Utke (Eindhoven University of Technology), Simon Rey (ILLC, University of Amsterdam), Ulle Endriss (ILLC, University of Amsterdam)
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MapBot: A Multi-Modal Agent for Geospatial Analysis
Martin Weiss (Mila, Quebec AI Institute & Polytechnique Montreal), Nasim Rahaman (Mila, Quebec AI Institute & Max Planck Institute for Intelligent Systems), Chris Pal (Mila, Quebec AI Institute & Polytechnique Montreal)
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Intention Recognition in Real-Time Interactive Navigation Maps
Peijie Zhao (University of Manchester & CUHK), Zunayed Arefin (University of Manchester), Felipe Meneguzzi (University of Aberdeen & PUCRS), Ramon Fraga Pereira (University of Manchester & UFRGS)
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When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgements Based on Empirical Data (Extended Abstract)
Edmond Awad (University of Exeter), Sydney Levine (Massachusetts Institute of Technology), Andrea Loreggia (University of Brescia), Nicholas Mattei (Tulane University), Iyad Rahwan (Center for Humans & Machines, Max Planck Institute for Human Development), Francesca Rossi (IBM Research), Kartik Talamadupula (Wand AI), Joshua Tenenbaum (Massachusetts Institute of Technology), Max Kleiman-Weiner (University of Washington)
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Beyond the Echo Chamber: Modelling Open-Mindedness in Citizens' Assemblies
Jake Barrett (University of Edinburgh), Kobi Gal (University of Edinburgh & Ben-Gurion University), Loizos Michael (Open University of Cyprus), Dan Vilenchik (Ben-Gurion University)
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Contest Partitioning in Binary Contests: Costly, yet Beneficial
Priel Levy (Bar-Ilan University), Yonatan Aumann (Bar-Ilan University), David Sarne (Bar-Ilan University)
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A summary of: Tackling School Segregation with Transportation Network Interventions -- An Agent-Based Modelling Approach
Dimitris Michailidis (University of Amsterdam), Mayesha Tasnim (University of Amsterdam), Sennay Ghebreab (University of Amsterdam), Fernando P. Santos (University of Amsterdam)
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Epistemic Selection of Costly Alternatives: The Case of Participatory Budgeting (Extended Abstract)
Simon Rey (ILLC, University of Amsterdam), Ulle Endriss (ILLC, University of Amsterdam)
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Strategic Manipulation of Preferences in the Rank Minimization Mechanism
Mayesha Tasnim (University of Amsterdam), Youri Weesie (Vrije Universiteit Amsterdam), Sennay Ghebreab (University of Amsterdam), Max Baak (ING Bank)
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Carbon Trading Supply Chain Management Based on Constrained Deep Reinforcement Learning
Qinghao Wang (Institute for Artificial Intelligence, Peking University), Yaodong Yang (Institute for Artificial Intelligence, Peking University)
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Navigating in a Space of Game Views (extended abstract)
Michael P. Wellman (University of Michigan), Katherine Mayo (University of Michigan)
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Resolving Social Dilemmas with Minimal Reward Transfer - Extended Abstract
Richard Willis (King's College London), Yali Du (King's College London), Joel Z. Leibo (Google DeepMind), Michael Luck (University of Sussex)
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