AAMAS 2024 (Auckland, New Zealand)

ISBN: 978-1-4007-0486-4

These are the proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2024). They are published by the International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

Copyright © 2024 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

Trustworthy Reinforcement Learning: Opportunities and Challenges
Ann Nowé (Vrije Universiteit Brussel)
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Agents and Humans: Trajectories and Perspectives
Liz Sonenberg (The University of Melbourne)
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30 Years of Engineering Multi-Agent Systems: What and Why?
Michael Winikoff (Victoria University of Wellington)
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Team Performance and User Satisfaction in Mixed Human-Agent Teams
Sami Abuhaimed (The University of Tulsa), Sandip Sen (The University of Tulsa)
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Value-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading
Abhijin Adiga (University of Virginia), Yohai Trabelsi (Bar-Ilan University), Tanvir Ferdousi (University of Virginia), Madhav Marathe (University of Virginia), S. S. Ravi (University of Virginia), Samarth Swarup (University of Virginia), Anil Kumar Vullikanti (University of Virginia), Mandy L. Wilson (University of Virginia), Sarit Kraus (Bar Ilan University), Reetwika Basu (Washington State University), Supriya Savalkar (Washington State University), Matthew Yourek (Washington State University), Michael Brady (Washington State University), Kirti Rajagopalan (Washington State University), Jonathan Yoder (Washington State University)
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Can Poverty Be Reduced by Acting on Discrimination? An Agent-based Model for Policy Making
Alba Aguilera (Artificial Intelligence Research Institute, IIIA-CSIC), Nieves Montes (Artificial Intelligence Research Institute, IIIA-CSIC), Georgina Curto (University of Notre Dame), Carles Sierra (Artificial Intelligence Research Institute, IIIA-CSIC), Nardine Osman (Artificial Intelligence Research Institute, IIIA-CSIC)
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Provably Learning Nash Policies in Constrained Markov Potential Games
Pragnya Alatur (Department of Computer Science, ETH AI Center), Giorgia Ramponi (Department of Computer Science, University of Zurich), Niao He (Department of Computer Science, ETH Zurich), Andreas Krause (Department of Computer Science, ETH Zurich)
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Beliefs, Shocks, and the Emergence of Roles in Asset Markets: An Agent-Based Modeling Approach
Evan Albers (Khoury College of Computer Sciences, Northeastern University), Mohammad T. Irfan (Department of Computer Science, Bowdoin College), Matthew J. Botsch (Department of Economics, Bowdoin College)
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On the Potential and Limitations of Proxy Voting: Delegation with Incomplete Votes
Georgios Amanatidis (University of Essex), Aris Filos-Ratsikas (University of Edinburgh), Philip Lazos (Input Output Global (IOG), Evangelos Markakis (Athens University of Economics and Business & Input Output Global (IOG), Georgios Papasotiropoulos (Athens University of Economics and Business, Input Output Global (IOG), & University of Warsaw)
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Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming
Giorgio Angelotti (ANITI, Fédération ENAC ISAE-SUPAERO ONERA, Université de Toulouse), Caroline P. C. Chanel (ANITI, Fédération ENAC ISAE-SUPAERO ONERA, Université de Toulouse), Adam Henrique Moreira Pinto (Fédération ENAC ISAE-SUPAERO ONERA, Université de Toulouse), Christophe Lounis (Fédération ENAC ISAE-SUPAERO ONERA, Université de Toulouse), Corentin Chauffaut (Fédération ENAC ISAE-SUPAERO ONERA, Université de Toulouse), Nicolas Drougard (ANITI, Fédération ENAC ISAE-SUPAERO ONERA, Université de Toulouse)
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Collective Robustness of Heterogeneous Decision-Makers Against Stubborn Individuals
Nemanja Antonic (IRIDIA, Université Libre de Bruxelles, DEIB, Politecnico di Milano, & naXys, Université de Namur), Raina Zakir (IRIDIA, Université Libre de Bruxelles), Marco Dorigo (IRIDIA, Université Libre de Bruxelles), Andreagiovanni Reina (IRIDIA, Université Libre de Bruxelles & CASCB, Max Planck Institute of Animal Behavior, University of Konstanz)
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Willy Wonka Mechanisms
Thomas Archbold (King's College London), Bart de Keijzer (King's College London), Carmine Ventre (King's College London)
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Extended Ranking Mechanisms for the m-Capacitated Facility Location Problem in Bayesian Mechanism Design
Gennaro Auricchio (University of Bath), Jie Zhang (University of Bath), Mengxiao Zhang (Durham University)
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Stability of Weighted Majority Voting under Estimated Weights
Shaojie Bai (Zhejiang University), Dongxia Wang (Zhejiang University & ZJU-Hangzhou Global Scientific and Technological Innovation Center), Tim Muller (University of Nottingham), Peng Cheng (Zhejiang University), Jiming Chen (Zhejiang University)
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Impact of Tie-Breaking on the Manipulability of Elections
James P. Bailey (Rensselaer Polytechnic Institute), Craig A. Tovey (Georgia Institute of Technology)
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Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play
Daniel Bairamian (Mila - Quebec AI Institute, McGill University), Philippe Marcotte (Ubisoft Montreal), Joshua Romoff (Ubisoft Montreal), Gabriel Robert (Ubisoft Montreal), Derek Nowrouzezahrai (Mila - Quebec AI Institute, McGill University)
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Strategic Reasoning under Capacity-constrained Agents
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), Youssef Laarouchi (SEIDO Lab, EDF R&D)
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Trust in Shapley: A Cooperative Quest for Global Trust in P2P Network
Arti Bandhana (Artificial Intelligence Center, Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague), Tomáš Kroupa (Artificial Intelligence Center, Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague), Sebastián Garcia (Artificial Intelligence Center, Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague)
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A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
Paul Barde (Mila - Quebec AI Institute, McGill University), Jakob Foerster (University of Oxford), Derek Nowrouzezahrai (Mila - Quebec AI Institute, McGill University), Amy Zhang (University of Texas at Austin & Meta AI - FAIR)
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Parameterized Guarantees for Almost Envy-Free Allocations
Siddharth Barman (Indian Institute of Science), Debajyoti Kar (Indian Institute of Science), Shraddha Pathak (Penn State University)
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Verification of Stochastic Multi-Agent Systems with Forgetful Strategies
Francesco Belardinelli (Imperial College London), Wojtek Jamroga (SnT, University of Luxembourg & ICS, Polish Academy of Sciences), Munyque Mittelmann (University of Naples Federico II), Aniello Murano (University of Naples Federico II)
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Combining Voting and Abstract Argumentation to Understand Online Discussions
Michael Bernreiter (DBAI, TU Wien), Jan Maly (DBAI, TU Wien), Oliviero Nardi (DBAI, TU Wien), Stefan Woltran (DBAI, TU Wien)
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Monitoring Second-Order Hyperproperties
Raven Beutner (CISPA Helmholtz Center for Information Security), Bernd Finkbeiner (CISPA Helmholtz Center for Information Security), Hadar Frenkel (CISPA Helmholtz Center for Information Security), Niklas Metzger (CISPA Helmholtz Center for Information Security)
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Hyper Strategy Logic
Raven Beutner (CISPA Helmholtz Center for Information Security), Bernd Finkbeiner (CISPA Helmholtz Center for Information Security)
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Optimal Referral Auction Design
Rangeet Bhattacharyya (IIT Kanpur), Parvik Dave (IIT Bombay), Palash Dey (IIT Kharagpur), Swaprava Nath (IIT Bombay)
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On Green Sustainability of Resource Selection Games with Equitable Cost-Sharing
Vittorio Bilò (University of Salento), Michele Flammini (Gran Sasso Science Institute & University of Calabria), Gianpiero Monaco (University of Chieti-Pescara), Luca Moscardelli (University of Chieti-Pescara), Cosimo Vinci (University of Salento)
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An Online Learning Theory of Brokerage
Nataša Bolić (University of Ottawa), Tommaso Cesari (University of Ottawa), Roberto Colomboni (University of Milan & IIT)
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Robust Popular Matchings
Martin Bullinger (University of Oxford), Rohith Reddy Gangam (University of California, Irvine), Parnian Shahkar (University of California, Irvine)
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HELP! Providing Proactive Support in the Presence of Knowledge Asymmetry
Turgay Caglar (Colorado State University), Sarath Sreedharan (Colorado State University)
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On the Complexity of Pareto-Optimal and Envy-Free Lotteries
Ioannis Caragiannis (Aarhus University), Kristoffer Arnsfelt Hansen (Aarhus University), Nidhi Rathi (Max Planck Institute for Informatics, University of Saarland)
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A Distributed Approach for Fault Detection in Swarms of Robots
Alessandro Carminati (Politecnico di Milano), Davide Azzalini (Politecnico di Milano), Simone Vantini (Politecnico di Milano), Francesco Amigoni (Politecnico di Milano)
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Finding Effective Ad Allocations: How to Exploit User History
Matteo Castiglioni (Politecnico di Milano), Alberto Latino (Politecnico di Milano), Alberto Marchesi (Politecnico di Milano), Giulia Romano (Politecnico di Milano), Nicola Gatti (Politecnico di Milano), Chokha Palayamkottai (Locify)
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Obstruction Alternating-time Temporal Logic: A Strategic Logic to Reason about Dynamic Models
Davide Catta (Università di Napoli, Federico II), Jean Leneutre (Télécom Paris), Vadim Malvone (Télécom Paris), Aniello Murano (Università di Napoli, Federico II)
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Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination
Jiajun Chai (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), Dongbin Zhao (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)
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Cooperative Electric Vehicles Planning
Jaël Champagne Gareau (Université du Québec à Montréal), Marc-André Lavoie (Cégep du Vieux Montréal), Guillaume Gosset (Université du Québec à Montréal), Éric Beaudry (Université du Québec à Montréal)
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Think Global, Act Local - Agent-Based Inline Recovery for Airline Operations
Yashovardhan S. Chati (Tata Consultancy Services Research), Ramasubramanian Suriyanarayanan (Tata Consultancy Services Research), Arunchandar Vasan (Tata Consultancy Services Research)
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Deep Anomaly Detection via Active Anomaly Search
Chao Chen (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University), Dawei Wang (Alibaba Group), Feng Mao (Alibaba Group), Jiacheng Xu (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University), Zongzhang Zhang (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University), Yang Yu (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University)
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Foresight Distribution Adjustment for Off-policy Reinforcement Learning
Ruifeng Chen (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University), Xu-Hui Liu (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University & Polixir Technologies), Tian-Shuo Liu (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University & Polixir Technologies), Shengyi Jiang (The University of Hong Kong), Feng Xu (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University), Yang Yu (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University & Polixir Technologies)
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Adaptive Primal-Dual Method for Safe Reinforcement Learning
Weiqin Chen (Rensselaer Polytechnic Institute), James Onyejizu (Rensselaer Polytechnic Institute), Long Vu (IBM T.J. Watson Research Center), Lan Hoang (IBM Research), Dharmashankar Subramanian (IBM T.J. Watson Research Center), Koushik Kar (Rensselaer Polytechnic Institute), Sandipan Mishra (Rensselaer Polytechnic Institute), Santiago Paternain (Rensselaer Polytechnic Institute)
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Boosting Continuous Control with Consistency Policy
Yuhui Chen (Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences), Haoran Li (Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences), Dongbin Zhao (Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences)
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ODEs Learn to Walk: ODE-Net based Data-Driven Modeling for Crowd Dynamics
Chen Cheng (Shanghai Jiao Tong University), Jinglai Li (University of Birmingham)
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Fast and Slow Goal Recognition
Mattia Chiari (University of Brescia), Alfonso Emilio Gerevini (University of Brescia), Andrea Loreggia (University of Brescia), Luca Putelli (University of Brescia), Ivan Serina (University of Brescia)
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Learning a Social Network by Influencing Opinions
Dmitry Chistikov (University of Warwick), Luisa Estrada (University of Warwick), Mike Paterson (University of Warwick), Paolo Turrini (University of Warwick)
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Fairness and Efficiency Trade-off in Two-sided Matching
Sung-Ho Cho (Kyushu University), Kei Kimura (Kyushu University), Kiki Liu (Kyushu University), Kwei-guu Liu (Kyushu University), Zhengjie Liu (Kyushu University), Zhaohong Sun (Kyushu University), Kentaro Yahiro (Kyushu University), Makoto Yokoo (Kyushu University)
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Private Agent-Based Modeling
Ayush Chopra (Massachusetts Institute of Technology), Arnau Quera-Bofarull (University of Oxford), Nurullah Giray-Kuru (Massachusetts Institute of Technology), Michael Wooldridge (University of Oxford), Ramesh Raskar (Massachusetts Institute of Technology)
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flame: A Framework for Learning in Agent-based ModEls
Ayush Chopra (Massachusetts Institute of Technology), Jayakumar Subramanian (Adobe), Balaji Krishnamurthy (Adobe), Ramesh Raskar (Massachusetts Institute of Technology)
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Multi-Robot Allocation of Assistance from a Shared Uncertain Operator
Clarissa Costen (University of Oxford), Anna Gautier (KTH Royal Institute of Technology), Nick Hawes (University of Oxford), Bruno Lacerda (University of Oxford)
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A Simple 1.5-approximation Algorithm for a Wide Range of Maximum Size Stable Matching Problems
Gergely Csáji (HUN-REN Centre for Economic and Regional Studies & ELTE Eötvös Loránd University)
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Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains
Sankarshan Damle (IIIT, Hyderabad), Manisha Padala (IISc, Bangalore), Sujit Gujar (IIIT, Hyderabad)
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The Parameterized Complexity of Welfare Guarantees in Schelling Segregation
Argyrios Deligkas (Royal Holloway, University of London), Eduard Eiben (Royal Holloway, University of London), Tiger-Lily Goldsmith (Royal Holloway, University of London)
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Toward a Quality Model for Hybrid Intelligence Teams
Davide Dell'Anna (Utrecht University), Pradeep K. Murukannaiah (Delft University of Technology), Bernd Dudzik (Delft University of Technology), Davide Grossi (University of Groningen), Catholijn M. Jonker (Delft University of Technology), Catharine Oertel (Delft University of Technology), Pinar Yolum (Utrecht University)
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Informativeness of Reward Functions in Reinforcement Learning
Rati Devidze (MPI-SWS), Parameswaran Kamalaruban (The Alan Turing Institute), Adish Singla (MPI-SWS)
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Continual Optimistic Initialization for Value-Based Reinforcement Learning
Sheelabhadra Dey (Texas A&M University), James Ault (Texas A&M University), Guni Sharon (Texas A&M University)
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Gerrymandering Planar Graphs
Jack Dippel (McGill University), Max Dupré la Tour (McGill University), April Niu (McGill University), Sanjukta Roy (Pennsylvania State University & University of Leeds), Adrian Vetta (McGill Univeristy)
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It Is Among Us: Identifying Adversaries in Ad-hoc Domains using Q-valued Bayesian Estimations
Matheus Aparecido Do Carmo Alves (Lancaster University), Amokh Varma (Indian Institute of Technology), Yehia Elkhatib (University of Glasgow), Leandro Soriano Marcolino (Lancaster University)
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Dynamic Epistemic Logic of Resource Bounded Information Mining Agents
Vitaliy Dolgorukov (HSE University), Rustam Galimullin (University of Bergen), Maksim Gladyshev (Utrecht University)
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Population Synthesis as Scenario Generation for Simulation-based Planning under Uncertainty
Joel Dyer (University of Oxford), Arnau Quera-Bofarull (University of Oxford), Nicholas Bishop (University of Oxford), J. Doyne Farmer (University of Oxford), Anisoara Calinescu (University of Oxford), Michael Wooldridge (University of Oxford)
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Computational Aspects of Distortion
Soroush Ebadian (University of Toronto), Aris Filos-Ratsikas (University of Edinburgh), Mohamad Latifian (University of Toronto), Nisarg Shah (University of Toronto)
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Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks
Taha Eghtesad (Pennsylvania State University), Sirui Li (Massachusetts Institute of Technology), Yevgeniy Vorobeychik (Washington University in St. Louis), Aron Laszka (Pennsylvania State University)
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Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer
Hannes Eriksson (Zenseact & Chalmers University of Technology), Tommy Tram (Zenseact & Chalmers University of Technology), Debabrota Basu (Univ. Lille, Inria, CNRS & Centrale Lille, UMR 9189 - CRIStAL), Mina Alibeigi (Zenseact), Christos Dimitrakakis (University of Oslo & University of Neuchatel)
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Holonic Learning: A Flexible Agent-based Distributed Machine Learning Framework
Ahmad Esmaeili (Purdue University), Zahra Ghorrati (Purdue University), Eric T. Matson (Purdue University)
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Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-agent Reinforcement Learning
Benjamin Patrick Evans (J.P. Morgan AI Research), Sumitra Ganesh (J.P. Morgan AI Research)
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High-Level, Collaborative Task Planning Grammar and Execution for Heterogeneous Agents
Amy Fang (Cornell University), Hadas Kress-Gazit (Cornell University)
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Facility Location Games with Fractional Preferences and Limited Resources
Jiazhu Fang (Ocean University of China), Wenjing Liu (Ocean University of China)
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Generalized Strategy Synthesis of Infinite-state Impartial Combinatorial Games via Exact Binary Classification
Liangda Fang (Jinan University & Pazhou Lab), Meihong Yang (Jinan University), Dingliang Cheng (Jinan University), Yunlai Hao (Jinan University), Quanlong Guan (Jinan University), Liping Xiong (Wuyi University)
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Probabilistic Multi-agent Only-Believing
Qihui Feng (RWTH Aachen University), Gerhard Lakemeyer (RWTH Aachen University)
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Preventing Deadlocks for Multi-Agent Pickup and Delivery in Dynamic Environments
Benedetta Flammini (Politecnico di Milano), Davide Azzalini (Politecnico di Milano), Francesco Amigoni (Politecnico di Milano)
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Potential-Based Reward Shaping for Intrinsic Motivation
Grant C. Forbes (North Carolina State University), Nitish Gupta (North Carolina State University), Leonardo Villalobos-Arias (North Carolina State University), Colin M. Potts (North Carolina State University), Arnav Jhala (North Carolina State University), David L. Roberts (North Carolina State University)
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Learning Complex Teamwork Tasks using a Given Sub-task Decomposition
Elliot Fosong (University of Edinburgh), Arrasy Rahman (University of Texas at Austin), Ignacio Carlucho (Heriot-Watt University), Stefano V. Albrecht (University of Edinburgh)
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BrainSLAM: SLAM on Neural Population Activity Data
Kipp Freud (University of Bristol), Nathan Lepora (University of Bristol), Matt W. Jones (University of Bristol), Cian O'Donnell (Ulster University)
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From Market Saturation to Social Reinforcement: Understanding the Impact of Non-Linearity in Information Diffusion Models
Tobias Friedrich (Hasso Plattner Institute, University of Potsdam), Andreas Göbel (Hasso Plattner Institute, University of Potsdam), Nicolas Klodt (Hasso Plattner Institute, University of Potsdam), Martin S. Krejca (Laboratoire d'Informatique (LIX), CNRS, École Polytechnique, Institut Polytechnique de Paris), Marcus Pappik (Hasso Plattner Institute, University of Potsdam)
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Analysing the Sample Complexity of Opponent Shaping
Kitty Fung (University of Oxford), Qizhen Zhang (University of Oxford), Chris Lu (University of Oxford), Jia Wan (Massachusetts Institute of Technology), Timon Willi (University of Oxford), Jakob Foerster (University of Oxford)
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RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning
Jasmina Gajcin (Trinity College Dublin), Ivana Dusparic (Trinity College Dublin)
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Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare
Daniel Garces (Harvard University), Stephanie Gil (Harvard University)
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Incentives for Early Arrival in Cooperative Games
Yaoxin Ge (ShanghaiTech University), Yao Zhang (ShanghaiTech University), Dengji Zhao (ShanghaiTech University), Zhihao Gavin Tang (Shanghai University of Finance and Economics), Hu Fu (Shanghai University of Finance and Economics), Pinyan Lu (Shanghai University of Finance and Economics)
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Deep Reinforcement Learning with Coalition Action Selection for Online Combinatorial Resource Allocation with Arbitrary Action Space
Tesfay Zemuy Gebrekidan (University of Southampton), Sebastian Stein (University of Southampton), Timothy J. Norman (University of Southampton)
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Approximating the Core via Iterative Coalition Sampling
Ian Gemp (Google DeepMind), Marc Lanctot (Google DeepMind), Luke Marris (Google DeepMind), Yiran Mao (Google DeepMind), Edgar Duéñez-Guzmán (Google DeepMind), Sarah Perrin (Google DeepMind), Andras Gyorgy (Google DeepMind), Romuald Elie (Google DeepMind), Georgios Piliouras (Google DeepMind), Michael Kaisers (Google DeepMind), Daniel Hennes (Google DeepMind), Kalesha Bullard (Google DeepMind), Kate Larson (Google DeepMind), Yoram Bachrach (Google DeepMind)
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Modelling the Rise and Fall of Two-sided Markets
Farnoud Ghasemi (Faculty of Mathematics and Computer Science, Jagiellonian University), Rafał Kucharski (Faculty of Mathematics and Computer Science, Jagiellonian University)
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NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds
Shivam Goel (Tufts University), Yichen Wei (Brown University), Panagiotis Lymperopoulos (Tufts University), Klára Churá (Tufts University), Matthias Scheutz (Tufts University), Jivko Sinapov (Tufts University)
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Capacity Modification in the Stable Matching Problem
Salil Gokhale (Indian Institute of Technology Delhi), Samarth Singla (Indian Institute of Technology Delhi), Shivika Narang (Simons Laufer Mathematical Science Institute), Rohit Vaish (Indian Institute of Technology Delhi)
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Nash Stability in Hedonic Skill Games
Laurent Gourves (Université Paris Dauphine-PSL, CNRS, LAMSADE), Gianpiero Monaco (University of Chieti-Pescara)
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Symbolic Computation of Sequential Equilibria
Moritz Graf (University of Freiburg), Thorsten Engesser (IRIT), Bernhard Nebel (University of Freiburg)
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Reinforcement Learning with Ensemble Model Predictive Safety Certification
Sven Gronauer (Technical University of Munich (TUM), Tom Haider (Fraunhofer IKS), Felippe Schmoeller da Roza (Fraunhofer IKS), Klaus Diepold (Technical University of Munich (TUM)
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MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning
Bram Grooten (Eindhoven University of Technology), Tristan Tomilin (Eindhoven University of Technology), Gautham Vasan (University of Alberta), Matthew E. Taylor (University of Alberta & Alberta Machine Intelligence Institute (Amii), A. Rupam Mahmood (University of Alberta & Alberta Machine Intelligence Institute (Amii), Meng Fang (University of Liverpool), Mykola Pechenizkiy (Eindhoven University of Technology), Decebal Constantin Mocanu (University of Luxembourg)
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Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation
Cong Guan (Nanjing University), Ruiqi Xue (Nanjing University), Ziqian Zhang (Nanjing University), Lihe Li (Nanjing University), Yi-Chen Li (Nanjing University), Lei Yuan (Nanjing University), Yang Yu (Nanjing University)
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Cooperation and Coordination in Heterogeneous Populations with Interaction Diversity
Hao Guo (Tsinghua University), Zhen Wang (Northwestern Polytechnical University), Junliang Xing (Tsinghua University), Pin Tao (Tsinghua University), Yuanchun Shi (Tsinghua University)
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First 100 days of Pandemic: An Interplay of Pharmaceutical, Behavioral and Digital Interventions - A Study using Agent Based Modeling
Gauri Gupta (Massachusetts Institute of Technology), Ritvik Kapila (University of California San Diego), Ayush Chopra (Massachusetts Institute of Technology), Ramesh Raskar (Massachusetts Institute of Technology)
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Causal Explanations for Sequential Decision-Making in Multi-Agent Systems
Balint Gyevnar (University of Edinburgh), Cheng Wang (University of Edinburgh), Christopher G. Lucas (University of Edinburgh), Shay B. Cohen (University of Edinburgh), Stefano V. Albrecht (University of Edinburgh)
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Weighted Proportional Allocations of Indivisible Goods and Chores: Insights via Matchings
Vishwa Prakash H.V. (Chennai Mathematical Institute), Prajakta Nimbhorkar (Chennai Mathematical Institute)
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Sample and Communication Efficient Fully Decentralized MARL Policy Evaluation via a New Approach: Local TD Update
Hairi (University of Wisconsin-Whitewater), Zifan Zhang (North Carolina State University), Jia Liu (The Ohio State University)
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Forecasting and Mitigating Disruptions in Public Bus Transit Services
Chaeeun Han (Pennsylvania State University), Jose Paolo Talusan (Vanderbilt University), Dan Freudberg (WeGo Public Transit), Ayan Mukhopadhyay (Vanderbilt University), Abhishek Dubey (Vanderbilt University), Aron Laszka (Pennsylvania State University)
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Solving Two-player Games with QBF Solvers in General Game Playing
Yifan He (UNSW Sydney), Abdallah Saffidine (UNSW Sydney), Michael Thielscher (UNSW Sydney)
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Facility Location Games with Scaling Effects
Yu He (City University of Hong Kong), Alexander Lam (City University of Hong Kong), Minming Li (City University of Hong Kong)
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Tight Approximations for Graphical House Allocation
Hadi Hosseini (Penn State University), Andrew McGregor (UMass Amherst), Rik Sengupta (UMass Amherst), Rohit Vaish (IIT Delhi), Vignesh Viswanathan (UMass Amherst)
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Measuring Policy Distance for Multi-Agent Reinforcement Learning
Tianyi Hu (Institute of Automation, CAS & School of Artificial Intelligence, UCAS), Zhiqiang Pu (Institute of Automation, CAS & School of Artificial Intelligence, UCAS), Xiaolin Ai (Institute of Automation, CAS), Tenghai Qiu (Institute of Automation, CAS), Jianqiang Yi (Institute of Automation, CAS & School of Artificial Intelligence, UCAS)
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Applying Opponent Modeling for Automatic Bidding in Online Repeated Auctions
Yudong Hu (University of Chinese Academy of Sciences), Congying Han (University of Chinese Academy of Sciences), Tiande Guo (University of Chinese Academy of Sciences), Hao Xiao (Institute of Electrical Engineering, Chinese Academy of Sciences)
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Keeping the Harmony Between Neighbors: Local Fairness in Graph Fair Division
Halvard Hummel (Norwegian University of Science and Technology), Ayumi Igarashi (University of Tokyo)
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On the Stability of Learning in Network Games with Many Players
Aamal Hussain (Imperial College London), Dan Leonte (Imperial College London), Francesco Belardinelli (Imperial College London), Georgios Piliouras (Singapore University of Technology and Design)
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Rational Verification with Quantitative Probabilistic Goals
David Hyland (University of Oxford), Julian Gutierrez (Monash University), Krishna Shankaranarayanan (IIT Bombay), Michael Wooldridge (University of Oxford)
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BDI Agents in Natural Language Environments
Alexandre Yukio Ichida (Pontifical Catholic University of Rio), Felipe Meneguzzi (University of Aberdeen & Pontifical Catholic University of Rio), Rafael C. Cardoso (University of Aberdeen)
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A Cloud-Based Microservices Solution for Multi-Agent Traffic Control Systems
Chikadibia Ihejimba (The University of Texas at Dallas), Rym Z. Wenkstern (The University of Texas at Dallas)
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Is Limited Information Enough? An Approximate Multi-agent Coverage Control in Non-Convex Discrete Environments
Tatsuya Iwase (Toyota Motor Europe NV/SA), Aurélie Beynier (Sorbonne Université, CNRS LIP6), Nicolas Bredeche (Sorbonne Université, CNRS ISIR), Nicolas Maudet (Sorbonne Université, CNRS LIP6), Jason R. Marden (University of California, Santa Barbara)
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Towards a Principle-based Framework for Repair Selection in Inconsistent Knowledge Bases
Said Jabbour (CRIL, CNRS UMR 8188, Université d'Artois), Yue Ma (LISN, CNRS UMR 9015, Université Paris-Saclay), Badran Raddaoui (SAMOVAR, Télécom SudParis, Institut Polytechnique de Paris)
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Unraveling the Tapestry of Deception and Personality: A Deep Dive into Multi-Issue Human-Agent Negotiation Dynamics
Nusrath Jahan (University of Central Florida), Johnathan Mell (University of Central Florida)
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Playing Quantitative Games Against an Authority: On the Module Checking Problem
Wojciech Jamroga (SnT, University of Luxembourg & ICS, Polish Academy of Sciences), Munyque Mittelmann (University of Naples Federico II), Aniello Murano (University of Naples Federico II), Giuseppe Perelli (Sapienza University of Rome)
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Discovering Consistent Subelections
Łukasz Janeczko (AGH University), Jérôme Lang (CNRS), Grzegorz Lisowski (AGH University), Stanisław Szufa (AGH University)
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Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation
Chengxing Jia (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University & Polixir Technologies), Fuxiang Zhang (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University), Yi-Chen Li (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University & Polixir Technologies), Chen-Xiao Gao (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University), Xu-Hui Liu (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University & Polixir Technologies), Lei Yuan (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University & Polixir Technologies), Zongzhang Zhang (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University), Yang Yu (National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University & Polixir Technologies)
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Recourse under Model Multiplicity via Argumentative Ensembling
Junqi Jiang (Imperial College London), Francesco Leofante (Imperial College London), Antonio Rago (Imperial College London), Francesca Toni (Imperial College London)
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Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence
Philip Jordan (ETH Zürich), Florian Grötschla (ETH Zürich), Flint Xiaofeng Fan (National University of Singapore), Roger Wattenhofer (ETH Zürich)
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Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning
Matej Jusup (ETH Zurich), Barna Pásztor (ETH Zurich), Tadeusz Janik (ETH Zurich), Kenan Zhang (EPFL), Francesco Corman (ETH Zurich), Andreas Krause (ETH Zurich), Ilija Bogunovic (University College London)
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To Lead or to be Led: A Generalized Condorcet Jury Theorem under Dependence
Jonas Karge (TU Dresden), Juliette-Michelle Burkhardt (TU Dresden), Sebastian Rudolph (TU Dresden), Dominik Rusovac (TU Dresden)
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Efficient Method for Finding Optimal Strategies in Chopstick Auctions with Uniform Objects Values
Stanisław Kaźmierowski (University of Warsaw), Marcin Dziubiński (University of Warsaw)
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Scaling Opponent Shaping to High Dimensional Games
Akbir Khan (University College London), Timon Willi (University Of Oxford), Newton Kwan (University College London), Andrea Tacchetti (Deepmind), Chris Lu (University Of Oxford), Edward Grefenstette (University College London), Tim Rocktäschel (University College London), Jakob Foerster (University of Oxford)
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Catfished! Impacts of Strategic Misrepresentation in Online Dating
Oz Kilic (Carleton University), Alan Tsang (Carleton University)
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Veto Core Consistent Preference Aggregation
Aleksei Y. Kondratev (HSE University), Egor Ianovski (Unaffiliated)
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Fine-Grained Liquid Democracy for Cumulative Ballots
Matthias Köppe (University of California), Martin Koutecký (Charles University), Krzysztof Sornat (University of Wrocław), Nimrod Talmon (Ben-Gurion University of the Negev)
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Minimizing State Exploration While Searching Graphs with Unknown Obstacles
Daniel Koyfman (Ben-Gurion University), Shahaf S. Shperberg (Ben-Gurion University), Dor Atzmon (Bar-Ilan University), Ariel Felner (Ben-Gurion University)
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Continuous Monte Carlo Graph Search
Kalle Kujanpää (Aalto University), Amin Babadi (Bugbear Entertainment & Aalto University), Yi Zhao (Aalto University), Juho Kannala (Aalto University), Alexander Ilin (Aalto University, System 2 AI), Joni Pajarinen (Aalto University)
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Approximating APS Under Submodular and XOS Valuations with Binary Marginals
Pooja Kulkarni (University of Illinois at Urbana-Champaign), Rucha Kulkarni (University of Illinois at Urbana-Champaign), Ruta Mehta (University of Illinois at Urbana-Champaign)
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Higher Order Reasoning under Intent Uncertainty Reinforces the Hobbesian Trap
Otto Kuusela (University of Amsterdam), Debraj Roy (University of Amsterdam)
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Proportional Fairness in Obnoxious Facility Location
Alexander Lam (City University of Hong Kong), Haris Aziz (UNSW Sydney), Bo Li (Hong Kong Polytechnic University), Fahimeh Ramezani (UNSW Sydney), Toby Walsh (UNSW Sydney)
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Beyond Surprise: Improving Exploration Through Surprise Novelty
Hung Le (Deakin University), Kien Do (Deakin University), Dung Nguyen (Deakin University), Svetha Venkatesh (Deakin University)
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Policy Learning for Off-Dynamics RL with Deficient Support
Linh Le Pham Van (Applied Artificial Intelligence Institute, Deakin University), Hung The Tran (Applied Artificial Intelligence Institute, Deakin University), Sunil Gupta (Applied Artificial Intelligence Institute, Deakin University)
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The Stochastic Evolutionary Dynamics of Softmax Policy Gradient in Games
Chin-wing Leung (University of Warwick), Shuyue Hu (Shanghai Artificial Intelligence Laboratory), Ho-fung Leung (Independent Researcher)
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Learning Partner Selection Rules that Sustain Cooperation in Social Dilemmas with the Option of Opting Out
Chin-wing Leung (University of Warwick), Paolo Turrini (University of Warwick)
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Coalition Formation with Bounded Coalition Size
Chaya Levinger (Ariel University), Noam Hazon (Ariel University), Sofia Simola (Technische Universität Wien), Amos Azaria (Ariel University)
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Bounding the Incentive Ratio of the Probabilistic Serial Rule
Bo Li (Hong Kong Polytechnic University), Ankang Sun (Hong Kong Polytechnic University), Shiji Xing (Hong Kong Polytechnic University)
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Normalization Enhances Generalization in Visual Reinforcement Learning
Lu Li (Tsinghua University), Jiafei Lyu (Tsinghua University), Guozheng Ma (Tsinghua University), Zilin Wang (Tsinghua University), Zhenjie Yang (Shanghai Jiao Tong University), Xiu Li (Tsinghua University), Zhiheng Li (Tsinghua University)
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Grasper: A Generalist Pursuer for Pursuit-Evasion Problems
Pengdeng Li (Nanyang Technological University), Shuxin Li (Nanyang Technological University), Xinrun Wang (Nanyang Technological University), Jakub Černý (Columbia University), Youzhi Zhang (CAIR, HKISI, CAS), Stephen McAleer (Carnegie Mellon University), Hau Chan (University of Nebraska-Lincoln), Bo An (Nanyang Technological University)
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Context-aware Communication for Multi-agent Reinforcement Learning
Xinran Li (The Hong Kong University of Science and Technology), Jun Zhang (The Hong Kong University of Science and Technology)
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Factor Graph Neural Network Meets Max-Sum: A Real-Time Route Planning Algorithm for Massive-Scale Trips
Yixuan Li (Southeast University), Wanyuan Wang (Southeast University), Weiyi Xu (Southeast University), Yanchen Deng (Nanyang Technological University), Weiwei Wu (Southeast University)
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Developing a Multi-agent and Self-adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management
Zhenglong Li (The University of Hong Kong), Vincent Tam (The University of Hong Kong), Kwan L. Yeung (The University of Hong Kong)
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A Complete Landscape for the Price of Envy-Freeness
Zihao Li (Nanyang Technological University), Shengxin Liu (Harbin Institute of Technology, Shenzhen), Xinhang Lu (UNSW Sydney), Biaoshuai Tao (Shanghai Jiao Tong University), Yichen Tao (University of Michigan)
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Episodic Reinforcement Learning with Expanded State-reward Space
Dayang Liang (Xiamen University), Yaru Zhang (Xiamen University), Yunlong Liu (Xiamen University)
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Policy-regularized Offline Multi-objective Reinforcement Learning
Qian Lin (Sun Yat-sen University), Chao Yu (Sun Yat-sen University), Zongkai Liu (Sun Yat-sen University), Zifan Wu (Sun Yat-sen University)
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Progression with Probabilities in the Situation Calculus: Representation and Succinctness
Daxin Liu (The University of Edinburgh), Vaishak Belle (The University of Edinburgh)
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LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination
Jijia Liu (Tsinghua University & SIGS), Chao Yu (Tsinghua University), Jiaxuan Gao (Tsinghua University), Yuqing Xie (Tsinghua University), Qingmin Liao (Tsinghua University & SIGS), Yi Wu (Tsinghua University & Shanghai Qi Zhi Institute), Yu Wang (Tsinghua University)
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A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning
Jinyi Liu (College of Intelligence and Computing, Tianjin University), Yi Ma (College of Intelligence and Computing, Tianjin University), Jianye Hao (College of Intelligence and Computing, Tianjin University), Yujing Hu (NetEase Fuxi AI Lab), Yan Zheng (College of Intelligence and Computing, Tianjin University), Tangjie Lv (NetEase Fuxi AI Lab), Changjie Fan (NetEase Fuxi AI Lab)
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2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem
Qidong Liu (Zhengzhou University & National Supercomputing Center in Zhengzhou), Chaoyue Liu (Zhengzhou University), Shaoyao Niu (Zhengzhou University), Cheng Long (Nanyang Technological University), Jie Zhang (Nanyang Technological University), Mingliang Xu (Zhengzhou University & National Supercomputing Center in Zhengzhou)
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Neural Population Learning beyond Symmetric Zero-Sum Games
Siqi Liu (Google DeepMind & University College London), Luke Marris (Google DeepMind & University College London), Marc Lanctot (Google DeepMind), Georgios Piliouras (Google DeepMind), Joel Z. Leibo (Google DeepMind), Nicolas Heess (Google DeepMind)
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GraphSAID: Graph Sampling via Attention based Integer Programming Method
Ziqi Liu (New York University Center for Data Science), Laurence Liu (FCC Analytics)
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Uncoupled Learning of Differential Stackelberg Equilibria with Commitments
Robert Loftin (The University of Sheffield), Mustafa Mert Çelikok (Delft University of Technology), Herke van Hoof (University of Amsterdam), Samuel Kaski (Aalto University & The University of Manchester), Frans A. Oliehoek (Delft University of Technology)
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Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models
Xingzhou Lou (School of Artificial Intelligence, UCAS & Institute of Automation, CAS), Junge Zhang (School of Artificial Intelligence, UCAS & Institute of Automation, CAS), Ziyan Wang (King's College London), Kaiqi Huang (School of Artificial Intelligence, UCAS & Institute of Automation, CAS), Yali Du (King's College London)
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DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge
Jiaming Lu (SenseTime Research & ISTBI of Fudan University), Jingqing Ruan (SenseTime Research), Haoyuan Jiang (SenseTime Research & Baidu Inc.), Ziyue Li (University of Cologne & EWI gGmbH), Hangyu Mao (SenseTime Research), Rui Zhao (SenseTime Research & Qing Yuan Research Institute of Shanghai Jiao Tong University)
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A Task-Driven Multi-UAV Coalition Formation Mechanism
Xinpeng Lu (Yangzhou University), Heng Song (Nanjing University of Information Science and Technology), Huailing Ma (Yangzhou University), Junwu Zhu (Yangzhou University)
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Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
Baiting Luo (Vanderbilt University), Yunuo Zhang (Vanderbilt University), Abhishek Dubey (Vanderbilt University), Ayan Mukhopadhyay (Vanderbilt University)
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Oh, Now I See What You Want: Learning Agent Models with Internal States from Observations
Panagiotis Lymperopoulos (Tufts University), Matthias Scheutz (Tufts University)
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Covert Planning aganist Imperfect Observers
Haoxiang Ma (University of Florida), Chongyang Shi (University of Florida), Shuo Han (University of Illinois Chicago), Michael R. Dorothy (DEVCOM Army Research Laboratory), Jie Fu (University of Florida)
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Mixed-Initiative Bayesian Sub-Goal Optimization in Hierarchical Reinforcement Learning
Haozhe Ma (National University of Singapore), Thanh Vinh Vo (National University of Singapore), Tze-Yun Leong (National University of Singapore)
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Attacking Multi-Player Bandits and How to Robustify Them
Shivakumar Mahesh (University of Oxford), Anshuka Rangi (Amazon), Haifeng Xu (University of Chicago), Long Tran-Thanh (University of Warwick)
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Explaining the Behavior of POMDP-based Agents Through the Impact of Counterfactual Information
Saaduddin Mahmud (University of Massachusetts Amherst), Marcell Vazquez-Chanlatte (Nissan Advanced Technology Center Silicon Valley), Stefan Witwicki (Nissan Advanced Technology Center Silicon Valley), Shlomo Zilberstein (University of Massachusetts Amherst)
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Bayesian Behavioural Model Estimation for Live Crowd Simulation
Fumiyasu Makinoshima (Fujitsu Limited), Tetsuro Takahashi (Fujitsu Limited), Yusuke Oishi (Kyushu University)
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PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning
Hangyu Mao (SenseTime Research), Rui Zhao (SenseTime Research), Ziyue Li (University of Cologne), Zhiwei Xu (Institute of Automation, Chinese Academy of Sciences), Hao Chen (University of Chinese Academy of Sciences), Yiqun Chen (Gaoling School of AI, Renmin University of China), Bin Zhang (Institute of Automation, Chinese Academy of Sciences), Zhen Xiao (Peking University), Junge Zhang (Institute of Automation, Chinese Academy of Sciences), Jiangjin Yin (Huazhong Agricultural University)
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Network Agency: An Agent-based Model of Forced Migration from Ukraine
Zakaria Mehrab (University of Virginia), Logan Stundal (University of Virginia), Samarth Swarup (University of Virginia), Srinivasan Venaktramanan (University of Virginia), Bryan Lewis (University of Virginia), Henning Mortveit (University of Virginia), Christopher Barrett (University of Virginia), Abhishek Pandey (Yale School of Public Health), Chad Wells (Yale School of Public Health), Alison Galvani (Yale School of Public Health), Burton Singer (University of Florida), David Leblang (University of Virginia), Rita Colwell (University of Maryland), Madhav Marathe (University of Virginia)
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Containing the Spread of a Contagion on a Tree
Michela Meister (Cornell University), Jon Kleinberg (Cornell University)
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TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-agent Reinforcement Learning
Qirui Mi (Institute of Automation, CAS & School of Artificial Intelligence, UCAS), Siyu Xia (Institute of Automation, CAS & School of Artificial Intelligence, UCAS), Yan Song (Institute of Automation, CAS), Haifeng Zhang (Institute of Automation, CAS, School of Artificial Intelligence, UCAS, & Nanjing Artificial Intelligence Research of IA), Shenghao Zhu (University of International Business and Economics), Jun Wang (University College London)
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Evaluating District-based Election Surveys with Synthetic Dirichlet Likelihood
Adway Mitra (Indian Institute of Technology), Palash Dey (Indian Institute of Technology)
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Observer-Aware Planning with Implicit and Explicit Communication
Shuwa Miura (University of Massachusetts Amherst), Shlomo Zilberstein (University of Massachusetts Amherst)
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PI-NeuGODE: Physics-Informed Graph Neural Ordinary Differential Equations for Spatiotemporal Trajectory Prediction
Zhaobin Mo (Department of Civil Engineering and Engineering Mechanics, Columbia University), Yongjie Fu (Department of Civil Engineering and Engineering Mechanics, Columbia University), Xuan Di (Department of Civil Engineering and Engineering Mechanics, Columbia University)
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Policy Optimization using Horizon Regularized Advantage to Improve Generalization in Reinforcement Learning
Nasik Muhammad Nafi (Kansas State University), Raja Farrukh Ali (Kansas State University), William Hsu (Kansas State University), Kevin Duong (Kansas State University), Mason Vick (Kansas State University)
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Linking Vision and Multi-Agent Communication through Visible Light Communication using Event Cameras
Haruyuki Nakagawa (Tokyo Institute of Technology & Sony Semiconductor Solutions Corporation), Yoshitaka Miyatani (Sony Semiconductor Solutions Corporation), Asako Kanezaki (Tokyo Institute of Technology)
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Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection
Linas Nasvytis (Harvard University), Kai Sandbrink (University of Oxford), Jakob Foerster (University of Oxford), Tim Franzmeyer (University of Oxford), Christian Schroeder de Witt (University of Oxford)
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Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation
Manisha Natarajan (Georgia Institute of Technology), Chunyue Xue (Georgia Institute of Technology), Sanne van Waveren (Georgia Institute of Technology), Karen Feigh (Georgia Institute of Technology), Matthew Gombolay (Georgia Institute of Technology)
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Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent Collaboration
Benjamin A. Newman (Carnegie Mellon University & Meta), Chris Paxton (Meta), Kris Kitani (Carnegie Mellon University & Meta), Henny Admoni (Carnegie Mellon University)
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Solution-oriented Agent-based Models Generation with Verifier-assisted Iterative In-context Learning
Tong Niu (Center for Brain-Inspired Computing Research, Tsinghua University), Weihao Zhang (Lynxi Technologies Co., Ltd.), Rong Zhao (Center for Brain-Inspired Computing Research, Tsinghua University)
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Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks
Eura Nofshin (Harvard University), Siddharth Swaroop (Harvard University), Weiwei Pan (Harvard University), Susan Murphy (Harvard University), Finale Doshi-Velez (Harvard University)
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RAISE the Bar: Restriction of Action Spaces for Improved Social Welfare and Equity in Traffic Management
Michael Oesterle (University of Mannheim), Tim Grams (University of Mannheim), Christian Bartelt (University of Mannheim), Heiner Stuckenschmidt (University of Mannheim)
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Engineering LaCAM*: Towards Real-time, Large-scale, and Near-optimal Multi-agent Pathfinding
Keisuke Okumura (University of Cambridge & National Institute of Advanced Industrial Science and Technology (AIST)
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Learning and Sustaining Shared Normative Systems via Bayesian Rule Induction in Markov Games
Ninell Oldenburg (University of Copenhagen), Tan Zhi-Xuan (Massachusetts Institute of Technology)
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Emergent Cooperation under Uncertain Incentive Alignment
Nicole Orzan (University of Groningen), Erman Acar (ILLC & IvI, University of Amsterdam), Davide Grossi (University of Groningen), Roxana Rădulescu (Vrije Universiteit Brussel & Utrecht University)
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A Computational Framework of Human Values
Nardine Osman (Artificial Intelligence Research Institute (IIIA-CSIC), Mark d'Inverno (Goldsmiths, University of London & Artificial Intelligence Research Institute (IIIA-CSIC)
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Improving Mobile Maternal and Child Health Care Programs: Collaborative Bandits for Time Slot Selection
Soumyabrata Pal (Google Research India & Adobe), Milind Tambe (Google Research), Arun Suggala (Google Research India), Karthikeyan Shanmugam (Google Research India), Aparna Taneja (Google Research India)
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Monitored Markov Decision Processes
Simone Parisi (University of Alberta & Ami), Montaser Mohammedalamen (University of Alberta), Alireza Kazemipour (University of Alberta), Matthew E. Taylor (University of Alberta & Ami), Michael Bowling (University of Alberta & Ami)
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Confidence-Based Curriculum Learning for Multi-Agent Path Finding
Thomy Phan (University of Southern California), Joseph Driscoll (Georgia Institute of Technology), Justin Romberg (Georgia Institute of Technology), Sven Koenig (University of Southern California)
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Single-Winner Voting with Alliances: Avoiding the Spoiler Effect
Grzegorz Pierczyński (AGH University), Stanisław Szufa (AGH University & CNRS, LAMSADE, Université Paris Dauphine-PSL)
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Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits
Subham Pokhriyal (Indian Institute of Technology Ropar), Shweta Jain (Indian Institute of Technology Ropar), Ganesh Ghalme (Indian Institute of Technology Hyderabad), Swapnil Dhamal (Indian Institute of Technology Ropar), Sujit Gujar (International Institute of Information Technology, Hyderabad)
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Atlas-X Equity Financing: Unlocking New Methods to Securely Obfuscate Axe Inventory Data Based on Differential Privacy
Antigoni Polychroniadou (J.P. Morgan AI Research & AlgoCRYPT CoE), Gabriele Ciprianni (J.P. Morgan Quantitative Research), Richard Hua (J.P. Morgan Quantitative Research), Tucker Balch (J.P. Morgan AI Research)
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Robust Knowledge Extraction from Large Language Models using Social Choice Theory
Nico Potyka (Cardiff University), Yuqicheng Zhu (Bosch Center of AI & Univ. of Stuttgart), Yunjie He (Bosch Center of AI & Univ. of Stuttgart), Evgeny Kharlamov (Bosch Center of AI & Univ. of Oslo), Steffen Staab (Univ. of Stuttgart & Univ. of Southampton)
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Online Decentralised Mechanisms for Dynamic Ridesharing
Nicos Protopapas (Archimedes/RC Athena), Vahid Yazdanpanah (University of Southampton), Enrico H. Gerding (University of Southampton), Sebastian Stein (University of Southampton)
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Interactively Learning the User's Utility for Best-Arm Identification in Multi-Objective Multi-Armed Bandits
Mathieu Reymond (Vrije Universiteit Brussel), Eugenio Bargiacchi (Vrije Universiteit Brussel), Diederik M. Roijers (Vrije Universiteit Brussel), Ann Nowé (Vrije Universiteit Brussel)
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Design Patterns for Explainable Agents (XAg)
Sebastian Rodriguez (RMIT University), John Thangarajah (RMIT University), Andrew Davey (RMIT University)
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Multi-Agent Diagnostics for Robustness via Illuminated Diversity
Mikayel Samvelyan (UCL & Meta AI), Davide Paglieri (UCL), Minqi Jiang (UCL & Meta AI), Jack Parker-Holder (UCL), Tim Rocktäschel (UCL)
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The Triangles of Dishonesty: Modelling the Evolution of Lies, Bullshit, and Deception in Agent Societies
Stefan Sarkadi (King's College London), Peter R. Lewis (Ontario Tech University)
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Computing Optimal Commitments to Strategies and Outcome-Conditional Utility Transfers
Nathaniel Sauerberg (University of Texas - Austin), Caspar Oesterheld (Carnegie Mellon University)
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CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning
Andreas Sauter (Vrije Universiteit Amsterdam), Nicolò Botteghi (University of Twente), Erman Acar (IvI and ILLC, University of Amsterdam), Aske Plaat (LIACS, Universiteit Leiden)
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IDIL: Imitation Learning of Intent-Driven Expert Behavior
Sangwon Seo (Rice University), Vaibhav Unhelkar (Rice University)
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Multi-user Norm Consensus
Marc Serramia (King's College London & City, University of London), Natalia Criado (Universitat Politècnica de València), Michael Luck (University of Sussex)
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Value Alignment in Participatory Budgeting
Marc Serramia (City, University of London), Maite Lopez-Sanchez (University of Barcelona), Juan A. Rodriguez-Aguilar (Artificial Intelligence Research Institute (IIIA-CSIC), Stefano Moretti (LAMSADE, Universtité Paris-Dauphine)
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Efficient Public Health Intervention Planning Using Decomposition-Based Decision-focused Learning
Sanket Shah (Harvard University), Arun Suggala (Google Research India), Milind Tambe (Google Research), Aparna Taneja (Google Research India)
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Battlefield Transfers in Coalitional Blotto Games
Vade Shah (University of California, Santa Barbara), Jason R. Marden (University of California, Santa Barbara)
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Modeling Cognitive Biases in Decision-theoretic Planning for Active Cyber Deception
Aditya Shinde (The University of Georgia), Prashant Doshi (The University of Georgia)
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Relaxed Exploration Constrained Reinforcement Learning
Shahaf S. Shperberg (Ben-Gurion University), Bo Liu (The University of Texas at Austin), Peter Stone (The University of Texas at Austin & Sony AI)
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LgTS: Dynamic Task Sampling using LLM-generated Sub-Goals for Reinforcement Learning Agents
Yash Shukla (Tufts University), Wenchang Gao (Tufts University), Vasanth Sarathy (Tufts University), Alvaro Velasquez (University of Colorado Boulder), Robert Wright (Georgia Tech Research Institute), Jivko Sinapov (Tufts University)
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PAS: Probably Approximate Safety Verification of Reinforcement Learning Policy Using Scenario Optimization
Arambam James Singh (Nanyang Technological University), Arvind Easwaran (Nanyang Technological University)
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Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences
Nikhil Kumar Singh (Indian Institute of Technology Kanpur), Indranil Saha (Indian Institute of Technology Kanpur)
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On Dealing with False Beliefs and Maintaining KD45n Property
Tran Cao Son (New Mexico State University), Loc Pham (New Mexico State University), Enrico Pontelli (New Mexico State University)
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Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: The Past, Present, and Future
Yan Song (Institution of Automation, Chinese Academy of Science), He Jiang (Digital Brain Lab), Haifeng Zhang (Institution of Automation, CAS, School of Artificial Intelligence, UCAS, & Nanjing Artificial Intelligence Research of IA), Zheng Tian (ShanghaiTech University), Weinan Zhang (Shanghai Jiao Tong University), Jun Wang (University College London)
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Algorithmic Filtering, Out-Group Stereotype, and Polarization on Social Media
Jean Springsteen (Washington University in St. Louis), William Yeoh (Washington University in St. Louis), Dino Christenson (Washington University in St. Louis)
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Multi-Agent Alternate Q-Learning
Kefan Su (Peking University), Siyuan Zhou (HKUST), Jiechuan Jiang (Peking University), Chuang Gan (MIT-IBM Watson AI Lab), Xiangjun Wang (inspir.ai), Zongqing Lu (Peking University)
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Allocating Contiguous Blocks of Indivisible Chores Fairly: Revisited
Ankang Sun (Hong Kong Polytechnic University), Bo Li (Hong Kong Polytechnic University)
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On the Transit Obfuscation Problem
Hideaki Takahashi (The University of Tokyo), Alex Fukunaga (The University of Tokyo)
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Towards Efficient Auction Design with ROI Constraints
Xinyu Tang (Shandong University), Hongtao Lv (Shandong University), Yingjie Gao (Shandong University), Fan Wu (Shanghai Jiao Tong University), Lei Liu (Shandong University & Shandong Research Institute of Industrial Technology), Lizhen Cui (Shandong University)
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Assessing Fairness of Residential Dynamic Pricing for Electricity using Active Learning with Agent-based Simulation
Swapna Thorve (University of Virginia), Henning Mortveit (University of Virginia), Anil Vullikanti (University of Virginia), Madhav Marathe (University of Virginia), Samarth Swarup (University of Virginia)
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Norm Enforcement with a Soft Touch: Faster Emergence, Happier Agents
Sz-Ting Tzeng (North Carolina State University), Nirav Ajmeri (University of Bristol), Munindar P. Singh (North Carolina State University)
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Reducing Optimism Bias in Incomplete Cooperative Games
Filip Úradník (Charles University), David Sychrovský (Charles University), Jakub Černý (Columbia University), Martin Černý (Charles University)
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Enabling BDI Agents to Reason on a Dynamic Action Repertoire in Hypermedia Environments
Danai Vachtsevanou (University of St. Gallen), Bruno de Lima (Federal University of Santa Catarina), Andrei Ciortea (University of St. Gallen), Jomi Fred Hübner (Federal University of Santa Catarina), Simon Mayer (University of St.Gallen), Jérémy Lemée (University of St.Gallen)
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MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning
Aravind Venugopal (Carnegie Mellon University), Stephanie Milani (Carnegie Mellon University), Fei Fang (Carnegie Mellon University), Balaraman Ravindran (Indian Institute of Technology, Madras)
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Optimal Flash Loan Fee Function with Respect to Leverage Strategies
Chenmin Wang (The University of Aizu), Peng Li (The University of Aizu), Yulong Zeng (YeeZTech), Xuepeng Fan (YeeZTech)
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Positive Intra-Group Externalities in Facility Location
Ying Wang (City University of Hong Kong), Houyu Zhou (City University of Hong Kong), Minming Li (City University of Hong Kong)
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Generalized Response Objectives for Strategy Exploration in Empirical Game-Theoretic Analysis
Yongzhao Wang (The Alan Turing Institute), Michael P. Wellman (University of Michigan)
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The Reasons that Agents Act: Intention and Instrumental Goals
Francis Rhys Ward (Imperial College London), Matt MacDermott (Imperial College London), Francesco Belardinelli (Imperial College London), Francesca Toni (Imperial College London), Tom Everitt (Google DeepMind)
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Distributed Online Rollout for Multivehicle Routing in Unmapped Environments
Jamison W. Weber (Arizona State University), Dhanush R. Giriyan (Arizona State University), Devendra R. Parkar (Arizona State University), Dimitri P. Bertsekas (Arizona State University), Andréa W. Richa (Arizona State University)
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Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing
Jannis Weil (Technical University of Darmstadt), Zhenghua Bao (Technical University of Darmstadt), Osama Abboud (Huawei Technologies), Tobias Meuser (Technical University of Darmstadt)
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Multi-Robot Motion and Task Planning in Automotive Production Using Controller-based Safe Reinforcement Learning
Eric Wete (Leibniz University Hannover), Joel Greenyer (FHDW Hannover), Daniel Kudenko (Leibniz University Hannover), Wolfgang Nejdl (Leibniz University Hannover)
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New Algorithms for Distributed Fair k-Center Clustering: Almost Accurate as Sequential Algorithms
Xiaoliang Wu (School of Computer Science and Engineering, Central South University & Xiangjiang Laboratory), Qilong Feng (School of Computer Science and Engineering, Central South University & Xiangjiang Laboratory), Ziyun Huang (Department of Computer Science and Software Engineering, Penn State Erie, The Behrend College), Jinhui Xu (Department of Computer Science and Engineering, State University of New York at Buffalo), Jianxin Wang (Hunan Provincial Key Lab on Bioinformatics, Central South University & Xiangjiang Laboratory)
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Adaptive Evolutionary Reinforcement Learning Algorithm with Early Termination Strategy
Xiaoqiang Wu (Shenzhen University), Qingling Zhu (Shenzhen University), Qiuzhen Lin (Shenzhen University), Weineng Chen (South China University of Technology), Jianqiang Li (Shenzhen University)
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Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems
Yaoxin Wu (Eindhoven University of Technology), Mingfeng Fan (National University of Singapore), Zhiguang Cao (Singapore Management University), Ruobin Gao (Nanyang Technological University), Yaqing Hou (Dalian University of Technology), Guillaume Sartoretti (National University of Singapore)
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Safeguard Privacy for Minimal Data Collection with Trustworthy Autonomous Agents
Mengwei Xu (Newcastle University), Louise A. Dennis (The University of Manchester), Mustafa A. Mustafa (The University of Manchester & COSIC, KU Leuven)
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Learning to Schedule Online Tasks with Bandit Feedback
Yongxin Xu (ShanghaiTech University), Shangshang Wang (ShanghaiTech University), Hengquan Guo (ShanghaiTech University), Xin Liu (ShanghaiTech University), Ziyu Shao (ShanghaiTech University)
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Successively Pruned Q-Learning: Using Self Q-function to Reduce the Overestimation
Zhaolin Xue (Fudan University), Lihua Zhang (Fudan University), Zhiyan Dong (Fudan University)
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Attention-based Priority Learning for Limited Time Multi-Agent Path Finding
Yibin Yang (Tsinghua University), Mingfeng Fan (Central South University), Chengyang He (National University of Singapore), Jianqiang Wang (Tsinghua University), Heye Huang (Tsinghua University), Guillaume Sartoretti (National University of Singapore)
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Automatic Curriculum for Unsupervised Reinforcement Learning
Yucheng Yang (Department of Mathematics and Computer Science, Eindhoven University of Technology), Tianyi Zhou (Department of Mathematics and Computer Science, University of Maryland, College Park), Lei Han (Tencent AI Lab), Meng Fang (Department of Mathematics and Computer Science, University of Liverpool & Eindhoven University of Technology), Mykola Pechenizkiy (Department of Mathematics and Computer Science, Eindhoven University of Technology)
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Multimodal Pretrained Models for Verifiable Sequential Decision-Making: Planning, Grounding, and Perception
Yunhao Yang (University of Texas at Austin), Cyrus Neary (University of Texas at Austin), Ufuk Topcu (University of Texas at Austin)
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Whom to Trust? Elective Learning for Distributed Gaussian Process Regression
Zewen Yang (Robert Koch Institute), Xiaobing Dai (Technical University of Munich), Akshat Dubey (Robert Koch Institute), Sandra Hirche (Technical University of Munich), Georges Hattab (Robert Koch Institute & Freie Universität Berlin)
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Risk-Aware Constrained Reinforcement Learning with Non-Stationary Policies
Zhaoxing Yang (Shanghai Jiao Tong University), Haiming Jin (Shanghai Jiao Tong University), Yao Tang (Shanghai Jiao Tong University), Guiyun Fan (Shanghai Jiao Tong University)
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When is Mean-Field Reinforcement Learning Tractable and Relevant?
Batuhan Yardim (ETH Zürich), Artur Goldman (HSE University), Niao He (ETH Zürich)
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Viral Marketing in Social Networks with Competing Products
Ahad N. Zehmakan (Australian National University), Xiaotian Zhou (Fudan University), Zhongzhi Zhang (Fudan University)
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Majority-based Preference Diffusion on Social Networks
Ahad N. Zehmakan (Australian National University)
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Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability
Chenyuan Zhang (The University of Melbourne), Charles Kemp (The University of Melbourne), Nir Lipovetzky (The University of Melbourne)
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Memory-Based Resilient Control Against Non-cooperation in Multi-agent Flocking
Mingyue Zhang (Southwest University), Nianyu Li (ZGC Lab), Jialong Li (Waseda University), Jiachun Liao (Nanhu Lab), Jiamou Liu (University of Auckland)
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MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure
Zhicheng Zhang (Carnegie Mellon University), Yancheng Liang (University of Washington), Yi Wu (Tsinghua University), Fei Fang (Carnegie Mellon University)
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Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning
Tan Zhi-Xuan (Massachusetts Institute of Technology), Lance Ying (Harvard University), Vikash Mansinghka (Massachusetts Institute of Technology), Joshua B. Tenenbaum (Massachusetts Institute of Technology)
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Maximising the Influence of Temporary Participants in Opinion Formation
Zhiqiang Zhuang (Tianjin University), Kewen Wang (Griffith University), Zhe Wang (Griffith University), Junhu Wang (Griffith University), Yinong Yang (Liaoning University)
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Defining Deception in Decision Making
Marwa Abdulhai (UC Berkeley), Micah Carroll (UC Berkeley), Justin Svegliato (UC Berkeley), Anca Dragan (UC Berkeley), Sergey Levine (UC Berkeley)
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Actual Trust in Multiagent Systems
Michael Akintunde (King's College London), Vahid Yazdanpanah (University of Southampton), Asieh Salehi Fathabadi (University of Southampton), Corina Cirstea (University of Southampton), Mehdi Dastani (Utrecht University), Luc Moreau (King's College London)
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On General Epistemic Abstract Argumentation Frameworks
Gianvincenzo Alfano (University of Calabria), Sergio Greco (University of Calabria), Francesco Parisi (University of Calabria), Irina Trubitsyna (University of Calabria)
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Approximately Fair Allocation of Indivisible Items with Random Valuations
Alessandro Aloisio (Università degli Studi Internazionali di Roma), Vittorio Bilò (Università del Salento), Antonio Mario Caruso (Università del Salento), Michele Flammini (Gran Sasso Science Institute & University of Calabria), Cosimo Vinci (Università del Salento)
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Quantum Circuit Design: A Reinforcement Learning Challenge
Philipp Altmann (LMU Munich), Adelina Bärligea (TU Munich), Jonas Stein (LMU Munich), Michael Kölle (LMU Munich), Thomas Gabor (LMU Munich), Thomy Phan (University of Southern California), Claudia Linnhof-Popien (LMU Munich)
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Charging Electric Vehicles Fairly and Efficiently
Ramsundar Anandanarayanan (IIT Bombay), Swaprava Nath (IIT Bombay), Rohit Vaish (IIT Delhi)
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Bounding Consideration Probabilities in Consider-Then-Choose Ranking Models
Ben Aoki-Sherwood (Johns Hopkins Applied Physics Lab), Catherine Bregou (Carleton College), David Liben-Nowell (Carleton College), Kiran Tomlinson (Cornell University), Thomas Zeng (University of Wisconsin)
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Abstracting Assumptions in Structured Argumentation
Iosif Apostolakis (Institute of Software Technology, TU Graz), Zeynep G. Saribatur (Institute of Logic and Computation, TU Wien), Johannes P. Wallner (Institute of Software Technology, TU Graz)
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Liquid Democracy for Low-Cost Ensemble Pruning
Ben Armstrong (University of Waterloo), Kate Larson (University of Waterloo)
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MiKe: Task Scheduling for UAV-based Parcel Delivery
Viviana Arrigoni (Department of Computer Science, Sapienza University of Rome), Giulio Attenni (Department of Computer Science, Sapienza University of Rome), Novella Bartolini (Department of Computer Science, Sapienza University of Rome), Matteo Finelli (Department of Computer Science, Sapienza University of Rome), Gaia Maselli (Department of Computer Science, Sapienza University of Rome)
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Entropy Seeking Constrained Multiagent Reinforcement Learning
Ayhan Alp Aydeniz (Collaborative Robotics and Intelligent Systems Institute, Oregon State University), Enrico Marchesini (Laboratory for Information Decision Systems, Massachusetts Institute of Technology), Christopher Amato (Khoury College of Computer Sciences, Northeastern University), Kagan Tumer (Collaborative Robotics and Intelligent Systems Institute, Oregon State University)
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Metric Distortion Under Public-Spirited Voting
Amirreza Bagheridelouee (Sharif University of Technology), Marzie Nilipour (Sharif University of Technology & Tehran Institute for Advanced Studies (TeIAS), Masoud Seddighin (Tehran Institute for Advanced Studies (TeIAS), Maziar Shamsipour (Sharif University of Technology)
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Concurrency Model of BDI Programming Frameworks: Why Should We Control It?
Martina Baiardi (University of Bologna), Samuele Burattini (University of Bologna), Giovanni Ciatto (University of Bologna), Danilo Pianini (University of Bologna), Andrea Omicini (University of Bologna), Alessandro Ricci (University of Bologna)
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Adaptive Discounting of Training Time Attacks
Ridhima Bector (Nanyang Technological University), Abhay Aradhya (Nanyang Technological University), Chai Quek (Nanyang Technological University), Zinovi Rabinovich (Nanyang Technological University)
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Computing Balanced Solutions for Large International Kidney Exchange Schemes when Cycle Length is Unbounded
Márton Benedek (KRTK, Institute of Economics), Péter Biró (KRTK, Institute of Economics), Gergely Csáji (KRTK, Institute of Economics), Matthew Johnson (Durham University), Daniël Paulusma (Durham University), Xin Ye (Durham University)
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Decentralized Control of Distributed Manipulators: An Information Diffusion Approach
Nicolas Bessone (IT University of Copenhagen), Payam Zahadat (IT University of Copenhagen), Kasper Stoy (IT University of Copenhagen)
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Gaze Supervision for Mitigating Causal Confusion in Driving Agents
Abhijat Biswas (Carnegie Mellon University), Badal Arun Pardhi (Carnegie Mellon University), Caleb Chuck (University of Texas at Austin), Jarrett Holtz (Robert Bosch LLC & University of Texas at Austin), Scott Niekum (University of Massachusetts Amherst), Henny Admoni (Carnegie Mellon University), Alessandro Allievi (Robert Bosch LLC & University of Texas at Austin)
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Fair Allocation of Conflicting Courses under Additive Utilities
Arpita Biswas (Harvard University), Yiduo Ke (Northwestern University), Samir Khuller (Northwestern University), Quanquan C. Liu (Yale University)
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Factored MDP based Moving Target Defense with Dynamic Threat Modeling
Megha Bose (International Institute of Information Technology), Praveen Paruchuri (International Institute of Information Technology), Akshat Kumar (Singapore Management University)
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Decentralised Emergence of Robust and Adaptive Linguistic Conventions in Populations of Autonomous Agents Grounded in Continuous Worlds
Jérôme Botoko Ekila (Vrije Universiteit Brussel), Jens Nevens (Vrije Universiteit Brussel), Lara Verheyen (Vrije Universiteit Brussel), Katrien Beuls (Université de Namur), Paul Van Eecke (Vrije Universiteit Brussel)
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Who gets the Maximal Extractable Value? A Dynamic Sharing Blockchain Mechanism
Pedro Braga (King's College London), Georgios Chionas (University of Liverpool), Piotr Krysta (Augusta University), Stefanos Leonardos (King's College London), Georgios Piliouras (Singapore University of Technology and Design), Carmine Ventre (King's College London)
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User-centric Explanation Strategies for Interactive Recommenders
Berk Buzcu (Özyeğin University), Emre Kuru (Özyeğin University), Reyhan Aydoğan (Özyeğin University & Delft University of Technology)
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Non Stationary Bandits with Periodic Variation
Titas Chakraborty (Indian Institute of Technology Bombay), Parth Shettiwar (Indian Institute of Technology Bombay)
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Mechanism Design for Reducing Agent Distances to Prelocated Facilities
Hau Chan (University of Nebraska-Lincoln), Xinliang Fu (City University of Hong Kong), Minming Li (City University of Hong Kong), Chenhao Wang (Beijing Normal University & BNU-HKBU United International College)
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Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search
Shao-Hung Chan (University of Southern California), Zhe Chen (Monash University), Dian-Lun Lin (University of Wisconsin-Madison), Yue Zhang (Monash University), Daniel Harabor (Monash University), Sven Koenig (University of Southern California), Tsung-Wei Huang (University of Wisconsin-Madison), Thomy Phan (University of Southern California)
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Agent-Based Triangle Counting and Its Applications in Anonymous Graphs
Prabhat Kumar Chand (Indian Statistical Institute), Apurba Das (BITS Pilani), Anisur Rahaman Molla (Indian Statistical Institute)
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HLG: Bridging Human Heuristic Knowledge and Deep Reinforcement Learning for Optimal Agent Performance
Bin Chen (University of South Australia), Zehong Cao (University of South Australia)
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Cutsets and EF1 Fair Division of Graphs
Jiehua Chen (TU Wien), William S. Zwicker (Union College)
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ANOTO: Improving Automated Negotiation via Offline-to-Online Reinforcement Learning
Siqi Chen (School of Information Science and Engineering, Chongqing Jiaotong University), Jianing Zhao (College of Intelligence and Computing, Tianjin University), Kai Zhao (College of Intelligence and Computing, Tianjin University), Gerhard Weiss (Department of Advanced Computing Sciences, Maastricht University), Fengyun Zhang (College of Intelligence and Computing, Tianjin University), Ran Su (College of Intelligence and Computing, Tianjin University), Yang Dong (School of Information Science and Engineering, Chongqing Jiaotong University), Daqian Li (School of Information Science and Engineering, Chongqing Jiaotong University), Kaiyou Lei (College of Computer and Information Science, Southwest University)
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Mastering Robot Control through Point-based Reinforcement Learning with Pre-training
Yihong Chen (Tsinghua University), Cong Wang (Fuxi Robotics in Netease), Tianpei Yang (University of Alberta), Meng Wang (Fuxi Robotics in Netease), Yingfeng Chen (Fuxi Robotics in Netease), Jifei Zhou (Fuxi Robotics in Netease), Chaoyi Zhao (Netease Fuxi AI Lab), Xinfeng Zhang (Netease Fuxi AI Lab), Zeng Zhao (Netease Fuxi AI Lab), Changjie Fan (Fuxi Robotics in Netease), Zhipeng Hu (Fuxi Robotics in Netease), Rong Xiong (Zhejiang University), Long Zeng (Tsinghua University)
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Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization
Yuxin Chen (University of California, Berkeley), Chen Tang (The University of Texas at Austin), Ran Tian (University of California, Berkeley), Chenran Li (University of California, Berkeley), Jinning Li (University of California, Berkeley), Masayoshi Tomizuka (University of California, Berkeley), Wei Zhan (University of California, Berkeley)
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Cognizing and Imitating Robotic Skills via a Dual Cognition-Action Architecture
Zixuan Chen (State Key Laboratory for Novel Software Technology, Nanjing University), Ze Ji (Cardiff University), Shuyang Liu (State Key Laboratory for Novel Software Technology, Nanjing University), Jing Huo (State Key Laboratory for Novel Software Technology, Nanjing University), Yiyu Chen (State Key Laboratory for Novel Software Technology, Nanjing University), Yang Gao (State Key Laboratory for Novel Software Technology, Nanjing University)
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Modelling the Dynamics of Subjective Identity in Allocation Games
Janvi Chhabra (International Institute of Information Technology, Bangalore), Jayati Deshmukh (International Institute of Information Technology, Bangalore), Srinath Srinivasa (International Institute of Information Technology, Bangalore)
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Optimal Task Assignment and Path Planning using Conflict-Based Search with Precedence and Temporal Constraints
Yu Quan Chong (Carnegie Mellon University), Jiaoyang Li (Carnegie Mellon University), Katia Sycara (Carnegie Mellon University)
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Minimizing Negative Side Effects in Cooperative Multi-Agent Systems using Distributed Coordination
Moumita Choudhury (University of Massachusetts Amherst), Sandhya Saisubramanian (Oregon State University), Hao Zhang (University of Massachusetts Amherst), Shlomo Zilberstein (University of Massachusetts Amherst)
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A Reinforcement Learning Framework for Studying Group and Individual Fairness
Alexandra Cimpean (Vrije Universiteit Brussel), Catholijn Jonker (Technische Universiteit Delft), Pieter Libin (Vrije Universiteit Brussel), Ann Nowé (Vrije Universiteit Brussel)
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Near-Optimal Online Resource Allocation in the Random-Order Model
Saar Cohen (Bar-Ilan University), Noa Agmon (Bar-Ilan university)
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Inferring Lewisian Common Knowledge using Theory of Mind Reasoning in a Forward-chaining Rule Engine
Stephen Cranefield (University of Otago), Sriashalya Srivathsan (Eastern University), Jeremy Pitt (Imperial College London)
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Analyzing Crowdfunding of Public Projects Under Dynamic Beliefs
Sankarshan Damle (IIIT, Hyderabad), Sujit Gujar (IIIT, Hyderabad)
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No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design
Sankarshan Damle (IIIT, Hyderabad), Varul Srivastava (IIIT, Hyderabad), Sujit Gujar (IIIT, Hyderabad)
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Deep Learning for Population-Dependent Controls in Mean Field Control Problems with Common Noise
Gökçe Dayanikli (Univ. of Illinois Urbana-Champaign), Mathieu Laurière (Shanghai New York Univ.), Jiacheng Zhang (Univ. of California Berkeley)
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Attila: A Negotiating Agent for the Game of Diplomacy, Based on Purely Symbolic A.I.
Dave de Jonge (IIIA-CSIC), Laura Rodriguez Cima (IIIA-CSIC)
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Evaluation of Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric Study
Pankaj Deoli (Robotics Research Lab, RPTU), Rohit Kumar (Robotics Research Lab, RPTU), Axel Vierling (Robotics Research Lab, RPTU), Karsten Berns (Robotics Research Lab, RPTU)
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A Comparison of the Myerson Value and the Position Value
Ayşe Mutlu Derya (TOBB University of Economics and Technology)
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Pruning Neural Networks Using Cooperative Game Theory
Mauricio Diaz-Ortiz Jr. (Radboud University), Benjamin Kempinski (Radboud University), Daphne Cornelisse (New York University), Yoram Bachrach (Google DeepMind), Tal Kachman (Radboud University)
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Verifying Proportionality in Temporal Voting
Edith Elkind (University of Oxford), Svetlana Obraztsova (Carleton University), Nicholas Teh (University of Oxford)
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Computational Theory of Mind with Abstractions for Effective Human-Agent Collaboration
Emre Erdogan (Utrecht University), Rineke Verbrugge (University of Groningen), Pinar Yolum (Utrecht University)
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Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning
Erwan Escudie (Univ. Groningen, Bernoulli Institute, CITI Lab., INRIA-INSA Chroma, & Univ Lyon, UCBL, LIRIS), Laetitia Matignon (Univ Lyon, UCBL, CNRS, INSA Lyon, LIRIS, UMR5205), Jacques Saraydaryan (CPE Lyon, CITI Lab., INRIA-INSA Chroma Team)
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Strategic Cost Selection in Participatory Budgeting
Piotr Faliszewski (AGH University), Łukasz Janeczko (AGH University), Andrzej Kaczmarczyk (AGH University), Grzegorz Lisowski (AGH University), Piotr Skowron (University of Warsaw), Stanisław Szufa (AGH University)
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Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks
Michael Y. Fatemi (University of Virginia), Wesley A. Suttle (U.S. Army Research Laboratory), Brian M. Sadler (U.S. Army Research Laboratory)
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Influence-Focused Asymmetric Island Model
Andrew Festa (Oregon State University), Gaurav Dixit (Oregon State University), Kagan Tumer (Oregon State University)
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A Negotiator's Backup Plan: Optimal Concessions with a Reservation Value
Tamara C.P. Florijn (Centrum Wiskunde & Informatica and Utrecht University), Pinar Yolum (Utrecht University), Tim Baarslag (Centrum Wiskunde & Informatica and Utrecht University)
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Aleatoric Predicates: Reasoning about Marbles
Tim French (The University of Western Australia)
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Synthesizing Social Laws with ATL Conditions
Rustam Galimullin (University of Bergen), Louwe B. Kuijer (University of Liverpool)
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Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing
Tesfay Zemuy Gebrekidan (University of Southampton), Sebastian Stein (University of Southampton), Timothy J. Norman (University of Southampton)
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Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks
Gaël Gendron (NAOInstitute, The University of Auckland), Yang Chen (NAOInstitute, The University of Auckland), Mitchell Rogers (NAOInstitute, The University of Auckland), Yiping Liu (NAOInstitute, The University of Auckland), Mihailo Azhar (NAOInstitute, The University of Auckland), Shahrokh Heidari (NAOInstitute, The University of Auckland), David Arturo Soriano Valdez (NAOInstitute, The University of Auckland), Kobe Knowles (NAOInstitute, The University of Auckland), Padriac O'Leary (NAOInstitute, The University of Auckland), Simon Eyre (Wellington Zoo), Michael Witbrock (NAOInstitute, The University of Auckland), Gillian Dobbie (NAOInstitute, The University of Auckland), Jiamou Liu (NAOInstitute, The University of Auckland), Patrice Delmas (NAOInstitute, The University of Auckland)
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Benchmarking MARL on Long Horizon 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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Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games
Hafez Ghaemi (School of ECE, University of Tehran), Hamed Kebriaei (School of ECE, University of Tehran), Alireza Ramezani Moghaddam (School of ECE, University of Tehran), Majid Nili Ahmadabadi (School of ECE, University of Tehran)
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Facility Location Games with Task Allocation
Zifan Gong (City University of Hong Kong), Minming Li (City University of Hong Kong), Houyu Zhou (City University of Hong Kong)
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Indirect Credit Assignment in a Multiagent System
Everardo Gonzalez (Oregon State University), Siddarth Viswanathan (Cal Poly State University), Kagan Tumer (Oregon State University)
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Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environments
Alexander W. Goodall (Imperial College London), Francesco Belardinelli (Imperial College London)
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Reinforcement Learning for Question Answering in Programming Domain using Public Community Scoring as a Human Feedback
Alexey Gorbatovski (ITMO University), Sergey Kovalchuk (Huawei)
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Towards Socially-Acceptable Multi-Criteria Resolution of the 4D-Contracts Repair Problem
Youssef Hamadi (Tempero), Gauthier Picard (ONERA/DTIS, Université de Toulouse)
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Taking Agent-Based Social Simulation to the Next Level Using Exascale Computing: Potential Use-Cases, Capacity Requirements and Threats
Matt Hare (The James Hutton Institute), Doug Salt (The James Hutton Institute), Ric Colasanti (University of Glasgow), Richard Milton (University College London), Mike Batty (University College London), Alison Heppenstall (University of Glasgow), Gary Polhill (The James Hutton Institute)
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Addressing Permutation Challenges in Multi-Agent Reinforcement Learning
Somnath Hazra (IIT Kharagpur), Pallab Dasgupta (Synopsys), Soumyajit Dey (IIT Kharagpur)
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Distribution of Chores with Information Asymmetry
Hadi Hosseini (Pennsylvania State University), Joshua Kavner (Rensselaer Polytechnic Institute), Tomas Wąs (CNRS, LAMSADE, Université Paris Dauphine-PSL), Lirong Xia (Rensselaer Polytechnic Institute)
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Computing Nash Equilibria in Multidimensional Congestion Games
Mohammad T. Irfan (Bowdoin College), Hau Chan (University of Nebraska-Lincoln), Jared Soundy (University of Nebraska-Lincoln)
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Strategic Routing and Scheduling for Evacuations
Kazi Ashik Islam (Biocomplexity Institute, University of Virginia), Da Qi Chen (Biocomplexity Institute, University of Virginia), Madhav Marathe (Biocomplexity Institute, University of Virginia), Henning Mortveit (Biocomplexity Institute, University of Virginia), Samarth Swarup (Biocomplexity Institute, University of Virginia), Anil Vullikanti (Biocomplexity Institute, University of Virginia)
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Dual-Policy-Guided Offline Reinforcement Learning with Optimal Stopping
Weibo Jiang (Tsinghua Shenzhen International Graduate School, Tsinghua University), Shaohui Li (Tsinghua Shenzhen International Graduate School, Tsinghua University), Zhi Li (Tsinghua Shenzhen International Graduate School, Tsinghua University), Yuxin Ke (Tsinghua Shenzhen International Graduate School, Tsinghua University), Zhizhuo Jiang (Tsinghua Shenzhen International Graduate School, Tsinghua University), Yaowen Li (Tsinghua Shenzhen International Graduate School, Tsinghua University), Yu Liu (Department of Electronics, Tsinghua University)
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NPPP-Completeness of Control by Adding Players to Change the Penrose-Banzhaf Power Index in Weighted Voting Games
Joanna Kaczmarek (Heinrich-Heine-Universität Düsseldorf), Jörg Rothe (Heinrich-Heine-Universität Düsseldorf)
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TIMAT: Temporal Information Multi-Agent Transformer
Qitong Kang (Nankai University), Fuyong Wang (Nankai University), Zhongxin Liu (Nankai University), Zengqiang Chen (Nankai University)
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On the Computational Complexity of Quasi-Variational Inequalities and Multi-Leader-Follower Games
Bruce M. Kapron (University of Victoria), Koosha Samieefar (University of Victoria)
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Contiguous Allocation of Binary Valued Indivisible Items on a Path
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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Decentralized Safe Control for Multi-Robot Navigation in Dynamic Environments with Limited Sensing
Saad Khan (Indian Institute of Technology, Bombay), Mayank Baranwal (Tata Consultancy Services Research), Srikant Sukumar (Indian Institute of Technology, Bombay)
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GLIDE-RL: Grounded Language Instruction through DEmonstration in RL
Chaitanya Kharyal (Microsoft), Sai Krishna Gottipati (AI Redefined), Tanmay Sinha (Microsoft Research), Srijita Das (University of Michigan-Dearborn), Matthew E. Taylor (AI Redefined & University of Alberta)
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Electric Vehicle Routing for Emergency Power Supply with Deep Reinforcement Learning
Daisuke Kikuta (NTT Corporation), Hiroki Ikeuchi (NTT Corporation), Kengo Tajiri (NTT Corporation), Yuta Toyama (NTT DOCOMO), Masaki Nakamura (NTT DOCOMO), Yuusuke Nakano (NTT Corporation)
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Difference of Convex Functions Programming for Policy Optimization in Reinforcement Learning
Akshat Kumar (Singapore Management University)
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Deep Hawkes Process for High-Frequency Market Making
Pankaj Kumar (Jheronimus Academy of Data Science)
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Fair Scheduling of Indivisible Chores
Yatharth Kumar (IIT Delhi), Sarfaraz Equbal (IIT Bombay), Rohit Gurjar (IIT Bombay), Swaprava Nath (IIT Bombay), Rohit Vaish (IIT Delhi)
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Guided Exploration in Reinforcement Learning via Monte Carlo Critic Optimization
Igor Kuznetsov (Independent Researcher)
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A SAT-based Approach for Argumentation Dynamics
Jean-Marie Lagniez (CRIL, Université d'Artois - CNRS), Emmanuel Lonca (CRIL, Université d'Artois - CNRS), Jean-Guy Mailly (Université Paris Cité, LIPADE)
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Which Games are Unaffected by Absolute Commitments?
Daji Landis (Bocconi University), Nikolaj I. Schwartzbach (Bocconi University)
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ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
Shiqi Lei (Institute of Automation, Chinese Academy of Sciences), Kanghoon Lee (KAIST), Linjing Li (Institute of Automation, Chinese Academy of Sciences), Jinkyoo Park (KAIST), Jiachen Li (University of California, Riverside)
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From Explicit Communication to Tacit Cooperation: A Novel Paradigm for Cooperative MARL
Dapeng Li (Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences), Zhiwei Xu (Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences), Bin Zhang (Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences), Guangchong Zhou (Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences), Zeren Zhang (Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences), Guoliang Fan (Institute of Automation, Chinese Academy of Sciences & School of Artificial Intelligence, University of Chinese Academy of Sciences)
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Efficient Collaboration with Unknown Agents: Ignoring Similar Agents without Checking Similarity
Yansong Li (University of Illinois Chicago), Shuo Han (University of Illinois Chicago)
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Simple k-crashing Plan with a Good Approximation Ratio
Ruixi Luo (Shenzhen Campus of Sun Yat-sen University), Kai Jin (Shenzhen Campus of Sun Yat-sen University), Zelin Ye (Shenzhen Campus of Sun Yat-sen University)
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Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning
Jiafei Lyu (Tsinghua University), Le Wan (Tencent), Xiu Li (Tsinghua University), Zongqing Lu (Peking University)
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Opinion Diffusion on Society Graphs Based on Approval Ballots
Jayakrishnan Madathil (University of Glasgow), Neeldhara Misra (Indian Institute of Technology, Gandhinagar), Yash More (Indian Institute of Technology, Gandhinagar)
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Time-Constrained Restless Multi-Armed Bandits with Applications to City Service Scheduling
Yi Mao (The Ohio State University), Andrew Perrault (The Ohio State University)
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Multi-level Aggregation with Delays and Stochastic Arrivals
Mathieu Mari (LIRMM, University of Montpellier), Michał Pawłowski (University of Warsaw, IDEAS NCBR, & Sapienza University of Rome), Runtian Ren (IDEAS NCBR), Piotr Sankowski (University of Warsaw, IDEAS NCBR, & MIM Solutions)
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Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning
Yongsheng Mei (The George Washington University), Hanhan Zhou (The George Washington University), Tian Lan (The George Washington University)
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Shield Decentralization for Safe Reinforcement Learning in General Partially Observable Multi-Agent Environments
Daniel Melcer (Northeastern University), Christopher Amato (Northeastern University), Stavros Tripakis (Northeastern University)
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Enhancing Search and Rescue Capabilities in Hazardous Communication-Denied Environments through Path-Based Sensors with Backtracking
Alexander Mendelsohn (University of Maryland), Donald Sofge (Naval Research Laboratory), Michael Otte (University of Maryland)
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Fairness in Repeated House Allocation
Karl Jochen Micheel (Heinrich-Heine-Universität Düsseldorf), Anaëlle Wilczynski (MICS, CentraleSupélec, Université Paris-Saclay)
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Continual Depth-limited Responses for Computing Counter-strategies in Sequential Games
David Milec (AI Center, FEE, CTU in Prague), Ondřej Kubíček (AI Center, FEE, CTU in Prague), Viliam Lisý (AI Center, FEE, CTU in Prague)
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Simulated Robotic Soft Body Manipulation
Glareh Mir (Institute for Artificial Intelligence, University of Bremen), Michael Beetz (Institute for Artificial Intelligence, University of Bremen)
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Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
Calarina Muslimani (University of Alberta), Matthew E. Taylor (University of Alberta & Alberta Machine Intelligence Institute (Amii)
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MA-MIX: Value Function Decomposition for Cooperative Multiagent Reinforcement Learning Based on Multi-Head Attention Mechanism
Yu Niu (Inner Mongolia University), Hengxu Zhao (Inner Mongolia University), Lei Yu (Inner Mongolia University)
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Ontological Modeling and Reasoning for Comparison and Contrastive Narration of Robot Plans
Alberto Olivares-Alarcos (Institut de Robòtica i Informàtica Industrial, CSIC-UPC), Sergi Foix (Institut de Robòtica i Informàtica Industrial, CSIC-UPC), Júlia Borràs (Institut de Robòtica i Informàtica Industrial, CSIC-UPC), Gerard Canal (Department of Informatics, King's College London), Guillem Alenyà (Institut de Robòtica i Informàtica Industrial, CSIC-UPC)
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Sentimental Agents: Combining Sentiment Analysis and Non-Bayesian Updating for Cooperative Decision-Making
Daniele Orner (Brave Venture Labs), Elizabeth Akinyi Ondula (University of Southern California), Nick Mumero Mwangi (Brave Venture Labs), Richa Goyal (University of Southern California)
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DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces
Pranavi Pathakota (TCS Research), Hardik Meisheri (TCS Research), Harshad Khadilkar (TCS Research & IIT Bombay)
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Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments
Lukasz Pelcner (Lancaster University), Matheus Aparecido do Carmo Alves (Lancaster University), Leandro Soriano Marcolino (Lancaster University), Paula Harrison (UK Centre for Ecology & Hydrology), Peter Atkinson (Lancaster University)
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Decision Making in Non-Stationary Environments with Policy-Augmented Search
Ava Pettet (Vanderbilt University), Yunuo Zhang (Vanderbilt University), Baiting Luo (Vanderbilt University), Kyle Wray (Stanford University), Hendrik Baier (Eindhoven University of Technology), Aron Laszka (Pennsylvania State University), Abhishek Dubey (Vanderbilt University), Ayan Mukhopadhyay (Vanderbilt University)
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Optimal Majority Rules and Quantitative Condorcet Properties of Setwise Kemeny Voting Schemes
Xuan Kien Phung (Université de Montréal), Sylvie Hamel (Université de Montréal)
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Fully Independent Communication in Multi-Agent Reinforcement Learning
Rafael Pina (Loughborough University London), Varuna De Silva (Loughborough University London), Corentin Artaud (Loughborough University London), Xiaolan Liu (Loughborough University London)
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Emergent Dominance Hierarchies in Reinforcement Learning Agents
Ram Rachum (Independent Researcher), Yonatan Nakar (Tel Aviv University), Bill Tomlinson (University of California, Irvine), Nitay Alon (Max Planck Institute, Bio-Cybernetics & Hebrew University of Jerusalem), Reuth Mirsky (Bar-Ilan University)
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GOV-REK: Governed Reward Engineering Kernels for Designing Robust Multi-Agent Reinforcement Learning Systems
Ashish Rana (Institute for Enterprise Systems, University of Mannheim), Michael Oesterle (Institute for Enterprise Systems, University of Mannheim), Jannik Brinkmann (Institute for Enterprise Systems, University of Mannheim)
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Banzhaf Power in Hierarchical Games
John Randolph (Brown University), Amy Greenwald (Brown University), Denizalp Goktas (Brown University)
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BAR Nash Equilibrium and Application to Blockchain Design
Maxime Reynouard (Nomadic Labs & LAMSADE, Université - PSL), Olga Gorelkina (Mohammed VI Polytechnic University & University of Liverpool), Rida Laraki (Mohammed VI Polytechnic University & CNRS (Dauphine - PSL)
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Psychophysiological Models of Cognitive States Can Be Operator-Agnostic
Erin E. Richardson (University of Colorado Boulder), Savannah L. Buchner (University of Colorado Boulder), Jacob R. Kintz (University of Colorado Boulder), Torin K. Clark (University of Colorado Boulder), Allison P. Anderson (University of Colorado Boulder)
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The Selfishness Level of Social Dilemmas
Stefan Roesch (King's College London), Stefanos Leonardos (King's College London), Yali Du (King's College London)
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JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
Alexander Rutherford (University of Oxford), Benjamin Ellis (University of Oxford), Matteo Gallici (Universitat Politècnica de Catalunya), Jonathan Cook (University of Oxford), Andrei Lupu (University of Oxford), Garðar Ingvarsson (University College London), Timon Willi (University of Oxford), Akbir Khan (University College London), Christian Schroeder de Witt (University of Oxford), Alexandra Souly (University College London), Saptarashmi Bandyopadhyay (University of Maryland), Mikayel Samvelyan (University College London), Minqi Jiang (University College London), Robert Lange (Technical University Berlin), Shimon Whiteson (University of Oxford), Bruno Lacerda (University of Oxford), Nick Hawes (University of Oxford), Tim Rocktäschel (University College London), Chris Lu (University of Oxford), Jakob Foerster (University of Oxford)
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Source Detection in Networks using the Stationary Distribution of a Markov Chain
Yael Sabato (Ariel Universiry), Amos Azaria (Ariel Universiry), Noam Hazon (Ariel Universiry)
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Social Identities and Responsible Agency
Karthik Sama (International Institute of Information Technology, Bangalore), Jayati Deshmukh (International Institute of Information Technology, Bangalore), Srinath Srinivasa (International Institute of Information Technology, Bangalore)
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Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
Pedro P. Santos (Instituto Superior Técnico & INESC-ID), Diogo S. Carvalho (Instituto Superior Técnico & INESC-ID), Miguel Vasco (KTH Royal Institute of Technology), Alberto Sardinha (Pontifical Catholic University of Rio de Janeiro & INESC-ID), Pedro A. Santos (Instituto Superior Técnico & INESC-ID), Ana Paiva (Instituto Superior Técnico & INESC-ID), Francisco S. Melo (Instituto Superior Técnico & INESC-ID)
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Geospatial Active Search for Preventing Evictions
Anindya Sarkar (Washington University in St. Louis), Alex DiChristofano (Washington University in St. Louis), Sanmay Das (George Mason University), Patrick J. Fowler (Washington University in St. Louis), Nathan Jacobs (Washington University in St. Louis), Yevgeniy Vorobeychik (Washington University in St. Louis)
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Balanced and Incentivized Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
Junning Shao (Tsinghua University & Shanghai Qi Zhi Institute), Siwei Wang (Microsoft Research), Zhixuan Fang (Tsinghua University & Shanghai Qi Zhi Institute)
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Cournot Queueing Games with Applications to Mobility Systems
Matthew Sheldon (Imperial College London), Dario Paccagnan (Imperial College London), Giuliano Casale (Imperial College London)
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OPEx: A Large Language Model-Powered Framework for Embodied Instruction Following
Haochen Shi (Université de Montréal & Mila), Zhiyuan Sun (Université de Montréal & Mila), Xingdi Yuan (Microsoft Research), Marc-Alexandre Côté (Microsoft Research), Bang Liu (Université de Montréal & Mila)
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Fairness and Cooperation between Independent Reinforcement Learners through Indirect Reciprocity
Jacobus Smit (University of Amsterdam), Fernando P. Santos (University of Amsterdam)
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Fairness and Privacy Guarantees in Federated Contextual Bandits
Sambhav Solanki (IIITH), Sujit Gujar (IIITH), Shweta Jain (IIT Ropar)
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Fairness of Exposure in Online Restless Multi-armed Bandits
Archit Sood (Indian Institute of Technology Ropar), Shweta Jain (Indian Institute of Technology Ropar), Sujit Gujar (International Institute of Information Technology, Hyderabad)
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Unlocking the Potential of Machine Ethics with Explainability
Timo Speith (University of Bayreuth)
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Hybrid Participatory Budgeting: Divisible, Indivisible, and Beyond
Gogulapati Sreedurga (University of Edinburgh)
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Decent-BRM: Decentralization through Block Reward Mechanisms
Varul Srivastava (IIIT, Hyderabad), Sujit Gujar (IIIT, Hyderabad)
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Ethical Markov Decision Processes with Moral Worth as Rewards
Mihail Stojanovski (Normandie Univ, UNICAEN, ENSICAEN, CNRS, GREYC), Nadjet Bourdache (Normandie Univ, UNICAEN, ENSICAEN, CNRS, GREYC), Grégory Bonnet (Normandie Univ, UNICAEN, ENSICAEN, CNRS, GREYC), Abdel-Illah Mouaddib (Normandie Univ, UNICAEN, ENSICAEN, CNRS, GREYC)
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A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation
Redha Taguelmimt (Univ Lyon, UCBL, CNRS, INSA Lyon, Centrale Lyon, Univ Lyon 2, LIRIS, UMR5205), Samir Aknine (Univ Lyon, UCBL, CNRS, INSA Lyon, Centrale Lyon, Univ Lyon 2, LIRIS, UMR5205), Djamila Boukredera (Faculty of Exact Sciences, Laboratory of Applied Mathematics, University of Bejaia), Narayan Changder (TCG Centres for Research and Education in Science and Technology), Tuomas Sandholm (Carnegie Mellon University, Strategic Machine, Inc., Strategy Robot, Inc., & Optimized Markets, Inc.)
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Efficient Size-based Hybrid Algorithm for Optimal Coalition Structure Generation
Redha Taguelmimt (Univ Lyon, UCBL, CNRS, INSA Lyon, Centrale Lyon, Univ Lyon 2, LIRIS, UMR5205), Samir Aknine (Univ Lyon, UCBL, CNRS, INSA Lyon, Centrale Lyon, Univ Lyon 2, LIRIS, UMR5205), Djamila Boukredera (Faculty of Exact Sciences, Laboratory of Applied Mathematics, University of Bejaia), Narayan Changder (TCG Centres for Research and Education in Science and Technology), Tuomas Sandholm (Carnegie Mellon University, Strategic Machine, Inc., Strategy Robot, Inc., & Optimized Markets, Inc.)
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Pure Nash Equilibria in Weighted Congestion Games with Complementarities and Beyond
Kenjiro Takazawa (Hosei University)
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HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding
Huijie Tang (KAIST), Federico Berto (KAIST), Zihan Ma (KAIST), Chuanbo Hua (KAIST), Kyuree Ahn (Omelet), Jinkyoo Park (KAIST, Omelet)
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Fuzzy Clustered Federated Learning Under Mixed Data Distributions
Peng Tang (ShangHai Jiao Tong University), Lifan Wang (ShangHai Jiao Tong University), Weidong Qiu (ShangHai Jiao Tong University), Zheng Huang (ShangHai Jiao Tong University), Qiangmin Wang (ShangHai Jiao Tong University)
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Neurological Based Timing Mechanism for Reinforcement Learning
Michael J. Tarlton (Oslo Metropolitan University), Gustavo B. Mello (Oslo Metropolitan University), Anis Yazidi (Oslo Metropolitan University)
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Unifying Regret and State-Action Space Coverage for Effective Unsupervised Environment Design
Jayden Teoh Jing Teoh (Singapore Management University), Wenjun Li (Singapore Management University), Pradeep Varakantham (Singapore Management University)
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Persuasion by Shaping Beliefs about Multidimensional Features of a Thing
Kazunori Terada (Gifu University), Yasuo Noma (Gifu University), Masanori Hattori (Chubu Electric Power Co., Inc.)
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Game Transformations That Preserve Nash Equilibria or Best-Response Sets
Emanuel Tewolde (Foundations of Cooperative AI Lab (FOCAL), Computer Science Department, Carnegie Mellon University), Vincent Conitzer (Foundations of Cooperative AI Lab (FOCAL), Computer Science Department, Carnegie Mellon University)
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Consensus of Nonlinear Multi-Agent Systems with Semi-Markov Switching Under DoS Attacks
Sheng Tian (Faculty of Applied Sciences, Macao Polytechnic University), Hong Shen (School of Engineering and Technology, Central Queensland University & Faculty of Applied Sci., Macao Polytechnic University), Yuan Tian (College of Intelligent Technology and Engineering, Chongqing University of Science and Technology), Hui Tian (School of Information and Communication Technology, Griffith University)
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Reducing Systemic Risk in Financial Networks through Donations
Jinyun Tong (King's College London), Bart De Keijzer (King's College London), Carmine Ventre (King's College London)
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Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
Maxime Toquebiau (ECE Paris & Sorbonne Université, CNRS, ISIR), Nicolas Bredeche (Sorbonne Université, CNRS, ISIR), Faïz Benamar (Sorbonne Université, CNRS, ISIR), Jae-Yun Jun (ECE Paris)
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Embracing Relational Reasoning in Multi-Agent Actor-Critic
Sharlin Utke (University of Warwick), Jeremie Houssineau (Nanyang Technological University), Giovanni Montana (University of Warwick)
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Bayesian Ensembles for Exploration in Deep Q-Learning
Pascal R. van der Vaart (Delft University of Technology), Neil Yorke-Smith (Delft University of Technology), Matthijs T. J. Spaan (Delft University of Technology)
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Understanding the Impact of Promotions on Consumer Behavior
Jarod Vanderlynden (Univ. Lille, CNRS, Centrale Lille, UMR & fifty-five), Philippe Mathieu (Univ. Lille, CNRS, Centrale Lille, UMR), Romain Warlop (fifty-five)
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On the existence of EFX under picky or non-differentiative agents
Maya Viswanathan (University of Illinois Laboratory High School), Ruta Mehta (University of Illinois, Urbana-Champaign)
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Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models
Khaing Phyo Wai (Singapore Management University), 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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Clique Analysis and Bypassing in Continuous-Time Conflict-Based Search
Thayne T. Walker (University of Denver & Lockheed Martin Corporation), Nathan R. Sturtevant (Department of Computing Science, Alberta Machine Intelligence Institute (Amii), University of Alberta), Ariel Felner (Ben-Gurion University)
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Detecting Anomalous Agent Decision Sequences Based on Offline Imitation Learning
Chen Wang (The University of Melbourne), Sarah Erfani (The University of Melbourne), Tansu Alpcan (The University of Melbourne), Christopher Leckie (The University of Melbourne)
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On the Utility of External Agent Intention Predictor for Human-AI Coordination
Chenxu Wang (Tsinghua University), Zilong Chen (Tsinghua University), Huaping Liu (Tsinghua University)
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Decision Market Based Learning for Multi-agent Contextual Bandit Problems
Wenlong Wang (Massey University), Thomas Pfeiffer (Massey University)
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Reinforcement Nash Equilibrium Solver
Xinrun Wang (Nanyang Technological University), Chang Yang (The Hong Kong Polytechnic University), Shuxin Li (Nanyang Technological University), Pengdeng Li (Nanyang Technological University), Xiao Huang (The Hong Kong Polytechnic University), Hau Chan (University of Nebraska-Lincoln), Bo An (Nanyang Technological University)
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Potential Games on Cubic Splines for Multi-Agent Motion Planning of Autonomous Agents
Sam Williams (University of Southern California), Jyotirmoy Deshmukh (University of Southern California)
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Competitive Analysis of Online Facility Open Problem
Binghan Wu (The University of Sydney), Wei Bao (The University of Sydney), Bing Zhou (The University of Sydney)
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Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
Zida Wu (University of California, Los Angeles), Mathieu Lauriere (New York University Shanghai), Samuel Jia Cong Chua (University of California, Los Angeles), Matthieu Geist (Cohere), Olivier Pietquin (Cohere), Ankur Mehta (University of California, Los Angeles)
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Truthful and Stable One-sided Matching on Networks
Tianyi Yang (ShanghaiTech University), Yuxiang Zhai (ShanghaiTech University), Dengji Zhao (ShanghaiTech University), Xinwei Song (ShanghaiTech University), Miao Li (ShanghaiTech University)
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On the Complexity of Candidates-Embedded Multiwinner Voting under the Hausdorff Function
Yongjie Yang (Chair of Economic Theory, Saarland University)
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Dual Role AoI-based Incentive Mechanism for HD map Crowdsourcing
Wentao Ye (Chinese University of Hong Kong, Shenzhen & Shenzhen Institute of Artificial Intelligence and Robotics for Society), Bo Liu (Shenzhen Institute of Artificial Intelligence and Robotics for Society), Yuan Luo (Chinese University of Hong Kong, Shenzhen & Shenzhen Institute of Artificial Intelligence and Robotics for Society), Jianwei Huang (Chinese University of Hong Kong, Shenzhen & Shenzhen Institute of Artificial Intelligence and Robotics for Society)
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Toward Socially Friendly Autonomous Driving Using Multi-agent Deep Reinforcement Learning
Jhih-Ching Yeh (National Tsing Hua University), Von-Wun Soo (Chang Gung University)
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Solving Offline 3D Bin Packing Problem with Large-sized Bin via Two-stage Deep Reinforcement Learning
Hao Yin (Southwest Jiaotong University), Fan Chen (Southwest Jiaotong University), Hongjie He (Southwest Jiaotong University)
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Overview of t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
William Yue (The University of Texas at Austin), Bo Liu (The University of Texas at Austin), Peter Stone (The University of Texas at Austin)
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MATLight: Traffic Signal Coordinated Control Algorithm based on Heterogeneous-Agent Mirror Learning with Transformer
Haipeng Zhang (Guangxi University of Science and Technology), Zhiwen Wang (Guangxi University of Science and Technology), Na Li (Guangxi University of Science and Technology)
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PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning
Hao Zhang (College of Intelligence and Computing, Tianjin University), Tianpei Yang (University of Alberta & Alberta Machine Intelligence Institute), Yan Zheng (College of Intelligence and Computing, Tianjin University), Jianye Hao (College of Intelligence and Computing, Tianjin University), Matthew E. Taylor (University of Alberta & Alberta Machine Intelligence Institute)
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Bellman Momentum on Deep Reinforcement Learning
Huihui Zhang (Dongsheng Intelligent Technolody Co., Ltd.)
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Auto-Encoding Adversarial Imitation Learning
Kaifeng Zhang (Shanghai Qi Zhi Institute), Rui Zhao (Tencent AI Lab), Ziming Zhang (Worcester Polytechnic Institute), Yang Gao (Tsinghua University, Shanghai Qi Zhi Institute, & Shanghai Artificial Intelligence Laboratory)
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Large Language Model Assissted Multi-Agent Dialogue for Ontology Alignment
Shiyao Zhang (Xi'an Jiaotong-Liverpool University), Yuji Dong (Xi'an Jiaotong-Liverpool University), Yichuan Zhang (Xi'an Jiaotong-Liverpool University), Terry R. Payne (University of Liverpool), Jie Zhang (Xi'an Jiaotong-Liverpool University)
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Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling
Xianjie Zhang (Dalian University of Technology), Jiahao Sun (Dalian University of Technology), Chen Gong (University of Virginia), Kai Wang (Nanyang Technological University), Yifei Cao (Dalian University of Technology), Hao Chen (Institute of Automation, Chinese Academy of Sciencec), Yu Liu (Dalian University of Technology)
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Optimal Diffusion Auctions
Yao Zhang (ShanghaiTech University), Shanshan Zheng (ShanghaiTech University), Dengji Zhao (ShanghaiTech University)
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Decentralized Competing Bandits in Many-to-One Matching Markets
Yirui Zhang (Tsinghua University & Shanghai Qi Zhi Institute), Zhixuan Fang (Tsinghua University & Shanghai Qi Zhi Institute)
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Distance-Aware Attentive Framework for Multi-Agent Collaborative Perception in Presence of Pose Error
Binyu Zhao (Harbin Institute of Technology), Wei Zhang (Harbin Institute of Technology), Zhaonian Zou (Harbin Institute of Technology)
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ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
Kai Zhao (College of Intelligence and Computing, Tianjin University), Jianye Hao (College of Intelligence and Computing, Tianjin University), Yi Ma (College of Intelligence and Computing, Tianjin University), Jinyi Liu (College of Intelligence and Computing, Tianjin University), Yan Zheng (College of Intelligence and Computing, Tianjin University), Zhaopeng Meng (College of Intelligence and Computing, Tianjin University)
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JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System
Xin Zhao (Tsinghua University), Jiaxin Li (Tsinghua University), Zhiwei Fang (JD.com), Yuchen Guo (Tsinghua University), Jinyuan Zhao (JD.com), Jie He (JD.com), Wenlong Chen (JD.com), Changping Peng (JD.com), Guiguang Ding (Tsinghua University)
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Bootstrapped Policy Learning: Goal Shaping for Efficient Task-oriented Dialogue Policy Learning
Yangyang Zhao (Changsha University of Science and Technologu & Utrecht University), Mehdi Dastani (Utrecht University), Shihan Wang (Utrecht University)
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Towards Zero Shot Learning in Restless Multi-armed Bandits
Yunfan Zhao (Harvard University), Nikhil Behari (Harvard University), Edward Hughes (Google), Edwin Zhang (Harvard University), Dheeraj Nagaraj (Google), Karl Tuyls (Google), Aparna Taneja (Google), Milind Tambe (Harvard University & Google)
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vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms
Yiwen Zhu (Zhejiang University), Jinyi Liu (Tianjin University), Wenya Wei (Zhejiang University), Qianyi Fu (Zhejiang University), Yujing Hu (NetEase Fuxi AI Lab), Zhou Fang (Zhejiang University), Bo An (Nanyang Technological University), Jianye Hao (Tianjin University), Tangjie Lv (NetEase Fuxi AI Lab), Changjie Fan (NetEase Fuxi AI Lab)
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Controlling Delegations in Liquid Democracy
Shiri Alouf-Heffetz (Ben Gurion University), Tanmay Inamdar (Indian Institute of Technology Jodhpur), Pallavi Jain (Indian Institute of Technology Jodhpur), Nimrod Talmon (Ben-Gurion University), Yash More Hiren (Indian Institute of Technology Gandhinagar)
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Regret-based Defense in Adversarial Reinforcement Learning
Roman Belaire (Singapore Management University), Pradeep Varakantham (Singapore Management University), Thanh Nguyen (University of Oregon), David Lo (Singapore Management University)
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Fair and Efficient Division of a Discrete Cake with Switching Utility Loss
Zheng Chen (College of Computer Science and Technology, Zhejiang University), Bo Li (Department of Computing, The Hong Kong Polytechnic University), Minming Li (Department of Computer Science, The Hong Kong Polytechnic University), Guochuan Zhang (College of Computer Science and Technology, Zhejiang University)
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MAGNets: Micro-Architectured Group Neural Networks
Sumanta Dey (IIT Kharagpur), Briti Gangopadhyay (IIT Kharagpur), Pallb Dasgupta (Synopsys Inc.), Soumyajit Dey (IIT Kharagpur)
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Budget-feasible Egalitarian Allocation of Conflicting Jobs
Sushmita Gupta (The Institute of Mathematical Science), Pallavi Jain (Indian Institute of Technology Jodhpur), A Mohanapriya (The Institute of Mathematical Sciences), Vikash Tripathi (The Institute of Mathematical Sciences)
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Multi-deal Negotiation
Tim Baarslag (Centrum Wiskunde & Informatica)
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Going Beyond Mono-Mission Earth Observation: Using the Multi-Agent Paradigm to Federate Multiple Missions
Jean-Loup Farges (ONERA/DTIS, Université de Toulouse), Filipo Perotto (ONERA/DTIS, Université de Toulouse), Gauthier Picard (ONERA, Université de Toulouse), Cédric Pralet (ONERA/DTIS, Université de Toulouse), Cyrille de Lussy (Airbus Defence and Space), Jonathan Guerra (Airbus Defence and Space), Philippe Pavero (Airbus Defence and Space), Fabrice Planchou (Airbus Defence and Space)
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Empowering BDI Agents with Generalised Decision-Making
Ramon Fraga Pereira (University of Manchester), Felipe Meneguzzi (University of Aberdeen)
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Adaptive Incentive Engineering in Citizen-Centric AI
Behrad Koohy (University of Southampton), Jan Buermann (University of Southampton), Vahid Yazdanpanah (University of Southampton), Pamela Briggs (Northumbria University), Paul Pschierer-Barnfather (Zaptec), Enrico Gerding (University of Southampton), Sebastian Stein (University of Southampton)
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Designing Artificial Reasoners for Communication
Emiliano Lorini (IRIT, CNRS, Toulouse University)
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Towards Sustainable Human-Agent Teams: A Framework for Understanding Human-Agent Team Dynamics
Rui Prada (INESC-ID & Instituto Superior Técnico, Universidade de Lisboa), Astrid C. Homan (University of Amsterdam), Gerben A. van Kleef (University of Amsterdam)
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Selecting Representative Bodies: An Axiomatic View
Manon Revel (Harvard University), Niclas Boehmer (Harvard University), Rachael Colley (University of Glasgow), Markus Brill (University of Warwick), Piotr Faliszewski (AGH University), Edith Elkind (University of Oxford & ATI)
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The Cognitive Hourglass: Agent Abstractions in the Large Models Era
Alessandro Ricci (University of Bologna), Stefano Mariani (University of Modena and Reggio Emilia), Franco Zambonelli (University of Modena and Reggio Emilia), Samuele Burattini (University of Bologna), Cristiano Castelfranchi (Italian Research Council)
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Explainable Agents (XAg) by Design
Sebastian Rodriguez (RMIT University), John Thangarajah (RMIT University)
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Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning
Peter Vamplew (Federation University Australia), Cameron Foale (Federation University Australia), Conor F. Hayes (Lawrence Livermore National Laboratory), Patrick Mannion (University of Galway), Enda Howley (University of Galway), Richard Dazeley (Deakin University), Scott Johnson (Deakin University), Johan Källström (Linköping University), Gabriel Ramos (Universidade do Vale do Rio dos Sinos), Roxana Rădulescu (Vrije Universiteit Brussel / Utrecht University), Willem Röpke (Vrije Universiteit Belgium), Diederik M. Roijers (Vrije Universiteit Brussel)
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Abstraction in Non-Monotonic Reasoning
Iosif Apostolakis (Graz University of Technology)
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Emergence of Linguistic Conventions In Multi-Agent Systems Through Situated Communicative Interactions
Jérôme Botoko Ekila (Vrije Universiteit Brussel)
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Communication and Generalization in Multi-Agent Learning
Jiaxun Cui (The University of Texas at Austin)
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The Multi-agent System based on LLM for Online Discussions
Yihan Dong (Kyoto University)
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Negotiation Strategies for Combining Partials Deals in One-To-Many Negotiations
Tamara C.P. Florijn (Centrum Wiskunde & Informatica and Utrecht University)
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Scaling up Cooperative Multi-agent Reinforcement Learning Systems
Minghong Geng (Singapore Management University)
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Toward Explainable Agent Behaviour
Victor Gimenez-Abalos (Barcelona Supercomputing Center & Universitat Politecnica de Catalunya)
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Towards building Autonomous AI Agents and Robots for Open World Environments
Shivam Goel (Tufts University)
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Large Learning Agents: Towards Continually Aligned Robots with Scale in RL
Bram Grooten (Eindhoven University of Technology)
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Efficient Continuous Space BeliefMDP Solutions for Navigation and Active Sensing
Himanshu Gupta (University of Colorado Boulder)
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Building Trustworthy Human-Centric Autonomous Systems Via Explanations
Balint Gyevnar (University of Edinburgh)
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Adaptive Decision-Making in Non-Stationary Markov Decision Processes
Baiting Luo (Vanderbilt University)
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Interactive Control and Decision-Making for Multi-Robots Systems
Yiwei Lyu (Carnegie Mellon University)
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Leveraging Human Models to Personalize AI Interventions for Behavior Change
Eura Nofshin (Harvard University)
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Predicting and Protecting the Cognitive Health of Operators in Isolated, Confined, and Extreme Environments
Erin E. Richardson (University of Colorado Boulder)
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Generalizing Objective-Specification in Markov Decision Processes
Pedro P. Santos (INESC-ID, Instituto Superior Técnico)
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Cooperative Multi-Agent Reinforcement Learning in Convention Reliant Environments
Jarrod Shipton (University of the Witwatersrand Johannesburg)
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Formal and Natural Language assisted Curriculum Generation for Reinforcement Learning Agents
Yash Shukla (Tufts University)
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Distributive and Temporal Fairness in Algorithmic Collective Decision-Making
Nicholas Teh (University of Oxford)
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Bayesian Model-Free Deep Reinforcement Learning
Pascal R. van der Vaart (Delft University of Technology)
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Autonomous Skill Acquisition for Robots Using Graduated Learning
Gautham Vasan (University of Alberta)
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Allocating Resources with Imperfect Information
Shiji Xing (The Hong Kong Polytechnic University)
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Advancing Sample Efficiency and Explainability in Multi-Agent Reinforcement Learning
Zhicheng Zhang (Carnegie Mellon University)
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EVtonomy: A Personalised Route Planner for Electric Vehicles
Alexandry Augustin (University of Southampton), Elnaz Shafipour (University of Southampton), Sebastian Stein (University of Southampton)
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End to End Camera only Drone Detection and Tracking Demo within a Multi-agent Framework with a CNN-LSTM Model for Range Estimation
Maxence de Rochechouart (Sorbonne University, Abu Dhabi), Raed Abu Zitar (Sorbonne University, Abu Dhabi), Amal El Fallah Seghrouchni (Sorbonne University), Frederic Barbaresco (Thales Group)
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Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking
Nathan Gavenski (King's College Longon), Michael Luck (University of Sussex), Odinaldo Rodrigues (King's College London)
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A Symbolic Sequential Equilibria Solver for Game Theory Explorer
Moritz Graf (University of Freiburg), Thorsten Engesser (IRIT), Bernhard Nebel (University of Freiburg)
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Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning
Sunghoon Hong (LG AI Research), Deunsol Yoon (LG AI Research), Whiyoung Jung (LG AI Research), Jinsang Lee (LG AI Research), Hyundam Yoo (LG AI Research), Jiwon Ham (LG AI Research), Suhyun Jung (LG AI Research), Chanwoo Moon (LG AI Research), Yeontae Jung (LG AI Research), Kanghoon Lee (LG AI Research), Woohyung Lim (LG AI Research), Somin Jeon (LG Chem), Myounggu Lee (LG Chem), Sohui Hong (LG Chem), Jaesang Lee (LG Chem), Hangyoul Jang (LG Chem), Changhyun Kwak (LG Chem), Jeonghyeon Park (LG Chem), Changhoon Kang (LG Chem), Jungki Kim (LG Chem)
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Conversational Language Models for Human-in-the-Loop Multi-Robot Coordination
William Hunt (University of Southampton), Toby Godfrey (University of Southampton), Mohammad D. Soorati (University of Southampton)
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STV+KH: Towards Practical Verification of Strategic Ability for Knowledge and Information Flow
Mateusz Kamiński (Institute of Computer Science, Polish Academy of Sciences & Faculty of Mathematics and Computer Science, Nicolaus Copernicus University in Toruń), Damian Kurpiewski (Institute of Computer Science, Polish Academy of Sciences & Faculty of Mathematics and Computer Science, Nicolaus Copernicus University in Toruń), Wojciech Jamroga (Interdisciplinary Centre for Security, Reliability and Trust, SnT, University of Luxembourg & Institute of Computer Science, Polish Academy of Sciences)
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SMT4SMTL: A Tool for SMT-Based Satisfiability Checking of SMTL
Artur Niewiadomski (University of Siedlce), Maciej Nazarczuk (University of Siedlce), Mateusz Przychodzki (University of Siedlce), Magdalena Kacprzak (Bialystok University of Technology), Wojciech Penczek (Institute of Computer Science, PAS), Andrzej Zbrzezny (Jan Dlugosz University in Czestochowa)
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Engaging the Elderly in Exercise with Agents: A Gamified Stationary Bike System for Sarcopenia Management
Yang Qiu (Nanyang Technological University), Ping Chen (Nanyang Technological University), Huiguo Zhang (Nanyang Technological University), Bo Huang (Nanyang Technological University), Di Wang (Nanyang Technological University), Zhiqi Shen (Nanyang Technological University)
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pgeon applied to Overcooked-AI to explain agents' behaviour
Adrian Tormos (Barcelona Supercomputing Center), Victor Gimenez-Abalos (Barcelona Supercomputing Center), Javier Vázquez-Salceda (Universitat Politècnica de Catalunya), Sergio Alvarez-Napagao (Universitat Politècnica de Catalunya& Barcelona Supercomputing Center)
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Generating and Choosing Organizations for Multi-Agent Systems
Cleber J. Amaral (Instituto Federal de Santa Catarina), Jomi F. Hübner (Universidade Federal de Santa Catarina), Stephen Cranefield (University of Otago)
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A Summary of the RGS⊕: an RDF Graph Synchronization System for Collaborative Robotics
Cyrille Berger (Linköping University), Patrick Doherty (Linköping University), Piotr Rudol (Linköping University), Mariusz Wzorek (Linköping University)
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A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary
Le Cong Dinh (University of Southampton), David Henry Mguni (Huawei R&D UK), Long Tran-Thanh (University of Warwick), Jun Wang (University College London), Yaodong Yang (Institute for AI, Peking University)
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Extended Abstract of Diffusion Auction Design with Transaction Costs
Bin Li (Nanjing University of Science and Technology), Dong Hao (University of Electronic Science and Technology of China), Dengji Zhao (ShanghaiTech University)
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Toward a Normative Approach for Resilient Multiagent Systems: A Summary
Geeta Mahala (University of Wollongong), Ozgur Kafali (University of Kent), Hoa Khanh Dam (University of Wollongong), Aditya Ghose (University of Wollongong), Munindar P. Singh (North Carolina State university)
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Combining Theory of Mind and Abductive Reasoning in Agent-Oriented Programming
Nieves Montes (Artificial Intelligence Research Institute (IIIA-CSIC), Michael Luck (University of Sussex), Nardine Osman (Artificial Intelligence Research Institute (IIIA-CSIC), Odinaldo Rodrigues (King's College London), Carles Sierra (Artificial Intelligence Research Institute (IIIA-CSIC)
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Extended Abstract: Price of Anarchy of Traffic Assignment with Exponential Cost Functions
Jianglin Qiao (University of South Australia), Dave De Jonge (IIIA-CSIC), Dongmo Zhang (Western Sydney University), Simeon Simoff (Western Sydney University), Carles Sierra (IIIA-CSIC), Bo Du (Griffith University)
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A Survey of Multi-Agent Deep Reinforcement Learning with Communication
Changxi Zhu (Department of Information and Computing Sciences, Utrecht University), Mehdi Dastani (Department of Information and Computing Sciences, Utrecht University), Shihan Wang (Department of Information and Computing Sciences, Utrecht University)
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