Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

Xinran Liang, Katherine Shu, Kimin Lee +1

Conveying complex objectives to reinforcement learning (RL) agents often requires meticulous reward engineering. Preference-based RL methods are able to learn a more flexible rewar…