AI RESEARCH
Near-Optimal Sample Complexities of Divergence-based S-rectangular Distributionally Robust Reinforcement Learning
arXiv CS.LG
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ArXi:2505.12202v3 Announce Type: replace Distributionally robust reinforcement learning (DR-RL) has recently gained significant attention as a principled approach that addresses discrepancies between