Offline RL

Model-Based Offline Planning with Trajectory Pruning IJCAI 2022 Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief NeurIPS 2022 Model Selection in Batch Policy Optimization ICML 2022 Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism ICLR 2022 NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning NeurIPS 2022 Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression NeurIPS 2022 Offline Meta-Reinforcement Learning with Online Self-Supervision ICML 2022 Offline policy optimization with eligible actions UAI 2022 Offline Policy Selection under Uncertainty AISTATS 2022 Offline Reinforcement Learning as Anti-exploration AAAI 2022 Offline Reinforcement Learning at Multiple Frequencies CoRL 2022 Offline Reinforcement Learning for Visual Navigation CoRL 2022 Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation COLT 2022 Offline reinforcement learning under value and density-ratio realizability: The power of gaps UAI 2022 Offline Reinforcement Learning with Implicit Q-Learning ICLR 2022 Offline Reinforcement Learning with Realizability and Single-policy Concentrability COLT 2022 Offline Reinforcement Learning with Value-based Episodic Memory ICLR 2022 Offline RL Policies Should Be Trained to be Adaptive ICML 2022 Offline stochastic shortest path: Learning, evaluation and towards optimality UAI 2022 Offline-to-Online Co-Evolutional User Simulator and Dialogue System EMNLP 2022 Off-Policy Evaluation for Action-Dependent Non-stationary Environments NeurIPS 2022 Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models NeurIPS 2022 Off-Policy Evaluation with Deficient Support Using Side Information NeurIPS 2022 Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory ICML 2022 Off-Policy Reinforcement Learning with Delayed Rewards ICML 2022