Robust Reward Alignment via Hypothesis Space Batch Cutting

Zhixian Xie, Haode Zhang, Yizhe Feng +1

Reward design in reinforcement learning and optimal control is challenging. Preference-based alignment addresses this by enabling agents to learn rewards from ranked trajectory pai…