Offline RL

Adaptive Trade-Offs in Off-Policy Learning AISTATS 2020 A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs NeurIPS 2020 A Nonparametric Off-Policy Policy Gradient AISTATS 2020 An Optimistic Perspective on Offline Reinforcement Learning ICML 2020 Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning AISTATS 2020 Attentive Experience Replay AAAI 2020 BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning NeurIPS 2020 BAR — A Reinforcement Learning Agent for Bounding-Box Automated Refinement AAAI 2020 Batch Reinforcement Learning with Hyperparameter Gradients ICML 2020 Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning ICLR 2020 BRPO: Batch Residual Policy Optimization IJCAI 2020 CoinDICE: Off-Policy Confidence Interval Estimation NeurIPS 2020 Conditional Importance Sampling for Off-Policy Learning AISTATS 2020 Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning NeurIPS 2020 Conservative Q-Learning for Offline Reinforcement Learning NeurIPS 2020 Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning ICML 2020 Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics ICML 2020 Counterfactual Data Augmentation using Locally Factored Dynamics NeurIPS 2020 Critic Regularized Regression NeurIPS 2020 Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020 Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation ICML 2020 Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes JMLR 2020 Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies NeurIPS 2020 Dueling Posterior Sampling for Preference-Based Reinforcement Learning UAI 2020 Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation NeurIPS 2020