Active Preference-Based Gaussian Process Regression for Reward Learning

Erdem Bıyık, Nicolas Huynh, Mykel J. Kochenderfer +1

Designing reward functions is a challenging problem in AI and robotics. Humans usually have a difficult time directly specifying all the desirable behaviors that a robot needs to o…