Offline RL

Switching the Loss Reduces the Cost in Batch Reinforcement Learning ICML 2024 Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NeurIPS 2024 Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning ICML 2024 The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NeurIPS 2024 The Value of Reward Lookahead in Reinforcement Learning NeurIPS 2024 Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NeurIPS 2024 Towards Robust Offline Reinforcement Learning under Diverse Data Corruption ICLR 2024 Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear q^π-Realizability and Concentrability NeurIPS 2024 Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NeurIPS 2024 Uncertainty-Aware Decision Transformer for Stochastic Driving Environments CoRL 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling UAI 2024 Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization ICLR 2024 Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings ICML 2024 When should we prefer Decision Transformers for Offline Reinforcement Learning? ICLR 2024 Worst-Case Offline Reinforcement Learning with Arbitrary Data Support NeurIPS 2024 WPO: Enhancing RLHF with Weighted Preference Optimization EMNLP 2024 Zero-Shot Reinforcement Learning from Low Quality Data NeurIPS 2024 Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples NeurIPS 2023 A Complete Characterization of Linear Estimators for Offline Policy Evaluation JMLR 2023 A Connection between One-Step RL and Critic Regularization in Reinforcement Learning ICML 2023 Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning CoRL 2023 Actor-Critic Alignment for Offline-to-Online Reinforcement Learning ICML 2023 Adaptive Policy Learning for Offline-to-Online Reinforcement Learning AAAI 2023 Adaptive Reward Shifting Based on Behavior Proximity for Offline Reinforcement Learning IJCAI 2023