UBP2: Uncertainty-Balanced Preference Planning for Efficient Preference-based Reinforcement Learning

Mohamed Nabail, Leo Kaixuan Cheng, Jingmin Wang +1

Preference-based RL provides an approach to learning reward models from pairwise comparisons of behaviors, bypassing the need for explicit reward design. However, existing methods…