Offline RL

Off-Policy Risk Assessment for Markov Decision Processes AISTATS 2022 On Gap-dependent Bounds for Offline Reinforcement Learning NeurIPS 2022 On Instrumental Variable Regression for Deep Offline Policy Evaluation JMLR 2022 Online Decision Transformer ICML 2022 On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction AISTATS 2022 On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning NeurIPS 2022 On the Role of Discount Factor in Offline Reinforcement Learning ICML 2022 On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation NeurIPS 2022 On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation ICML 2022 Oracle Inequalities for Model Selection in Offline Reinforcement Learning NeurIPS 2022 Pareto Policy Pool for Model-based Offline Reinforcement Learning ICLR 2022 Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning ICML 2022 Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning ICLR 2022 Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022 Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity ICML 2022 Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning ICML 2022 Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification ICML 2022 Policy Optimization for Stochastic Shortest Path COLT 2022 Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus NeurIPS 2022 Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes ICML 2022 RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning NeurIPS 2022 Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning ICML 2022 Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration ICLR 2022 ReVar: Strengthening policy evaluation via reduced variance sampling UAI 2022 Revisiting Design Choices in Offline Model Based Reinforcement Learning ICLR 2022