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model-based offline reinforcement learning

3 papers

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uncertainty estimation (2) distractors (1) conservative sampling (1) endogenous states (1) exogenous parts (1) synthetic sample (1) cross entropy (1) aleatoric uncertainty (1) distributional shift (1) dynamics model (1)

Papers

SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning AAAI 2025 SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets ICML 2024 One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning NeurIPS 2023