Robust Regularized Policy Iteration under Transition Uncertainty

Hongqiang Lin, Zhenghui Fu, Weihao Tang +4

Offline reinforcement learning (RL) enables data-efficient and safe policy learning without online exploration, but its performance often degrades under distribution shift. The lea…