Chufan Chen

Rebalancing Return Coverage for Conditional Sequence Modeling in Offline Reinforcement Learning

Recent advancements in offline reinforcement learning (RL) have underscored the capabilities of conditional sequence modeling (CSM), a paradigm that models the action distribution conditioned on both historical trajectories and target returns associated with each state. However, due to the imbalance…