PAWS: Preference Learning with Advantage-Weighted Segments

Aleksandar Taranovic, Onur Celik, Niklas Freymuth +6

Preference-based reinforcement learning (PbRL) learns policies from human trajectory-level comparisons, avoiding explicit reward design and expert demonstrations. Existing methods…