offline reinforcement learning

Offline Reinforcement Learning with Closed-Form Policy Improvement Operators ICML 2023 Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient ICLR 2023 Offline Reinforcement Learning with Differential Privacy NeurIPS 2023 Offline RL for Natural Language Generation with Implicit Language Q Learning ICLR 2023 Offline RL with Discrete Proxy Representations for Generalizability in POMDPs NeurIPS 2023 Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization ICLR 2023 On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation AAAI 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 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 Transport for Offline Imitation Learning ICLR 2023 Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach AISTATS 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 Regularization with Dataset Constraint for Offline Reinforcement Learning ICML 2023 Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials RSS 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 Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023 Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL UAI 2023 Provably (More) Sample-Efficient Offline RL with Options NeurIPS 2023