Offline RL

Off-Policy Proximal Policy Optimization AAAI 2023 One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning NeurIPS 2023 On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation AAAI 2023 Online Learning with Off-Policy Feedback ALT 2023 Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning AAAI 2023 On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond NeurIPS 2023 On the Effectiveness of Offline RL for Dialogue Response Generation ICML 2023 On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation UAI 2023 On the Reuse Bias in Off-Policy Reinforcement Learning IJCAI 2023 On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples AAAI 2023 Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian ICLR 2023 Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs ICML 2023 Optimal Transport for Offline Imitation Learning ICLR 2023 Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making NeurIPS 2023 Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023 Percentile Criterion Optimization in Offline Reinforcement Learning NeurIPS 2023 Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes ICLR 2023 Pessimistic Model Selection for Offline Deep Reinforcement Learning UAI 2023 Policy-Adaptive Estimator Selection for Off-Policy Evaluation AAAI 2023 Policy Expansion for Bridging Offline-to-Online Reinforcement Learning ICLR 2023 Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data NeurIPS 2023 Policy Regularization with Dataset Constraint for Offline Reinforcement Learning ICML 2023 Principled Offline RL in the Presence of Rich Exogenous Information ICML 2023 Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability NeurIPS 2023 Provably Efficient Offline Reinforcement Learning in Regular Decision Processes NeurIPS 2023