State-Constrained Offline Reinforcement Learning

Charles A. Hepburn, Yue Jin, Giovanni Montana

Traditional offline reinforcement learning (RL) methods predominantly operate in a batch-constrained setting. This confines the algorithms to a specific state-action distribution p…