Active Optimization and Self Driving Cars

Self driving cars hold the promise of making transportation safer and more efficient than ever before possible. They will also be among the most complex robotic systems ever fielded and thus require an unprecedented level of machine learning throughout to achieve their desired performance. These learners create an everchanging environment for all algorithms operating in the system and optimizing their performance will become a perpetual activity rather than a one-off task.