Similarity as Reward Alignment: Robust and Versatile Preference-based Reinforcement Learning

Sara Rajaram, R. James Cotton, Fabian H. Sinz

Preference-based Reinforcement Learning (PbRL) entails a variety of approaches for aligning models with human intent to alleviate the burden of reward engineering. However, most pr…