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20242026
most citedLearning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning

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stat.ML2024

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…