Deep Reinforcement Learning from Hierarchical Preference Design

Alexander Bukharin, Yixiao Li, Pengcheng He +1

Reward design is a fundamental, yet challenging aspect of reinforcement learning (RL). Researchers typically utilize feedback signals from the environment to handcraft a reward fun…