Offline RL

C-Learning: Horizon-Aware Cumulative Accessibility Estimation ICLR 2021 COMBO: Conservative Offline Model-Based Policy Optimization NeurIPS 2021 Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting AISTATS 2021 Conservative Data Sharing for Multi-Task Offline Reinforcement Learning NeurIPS 2021 Conservative Offline Distributional Reinforcement Learning NeurIPS 2021 Continuous Doubly Constrained Batch Reinforcement Learning NeurIPS 2021 Control Variates for Slate Off-Policy Evaluation NeurIPS 2021 Curriculum Offline Imitating Learning NeurIPS 2021 Data-efficient Hindsight Off-policy Option Learning ICML 2021 Dealing with the Unknown: Pessimistic Offline Reinforcement Learning CoRL 2021 Decision Transformer: Reinforcement Learning via Sequence Modeling NeurIPS 2021 DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs ICLR 2021 Deep Reinforcement Learning amidst Continual Structured Non-Stationarity ICML 2021 Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization ICLR 2021 Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality ICML 2021 EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL ICML 2021 Fast Rates for the Regret of Offline Reinforcement Learning COLT 2021 Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm ICML 2021 Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning AISTATS 2021 FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization ICLR 2021 Improved Regret Bound and Experience Replay in Regularized Policy Iteration ICML 2021 Instabilities of Offline RL with Pre-Trained Neural Representation ICML 2021 IQ-Learn: Inverse soft-Q Learning for Imitation NeurIPS 2021 Is Pessimism Provably Efficient for Offline RL? ICML 2021 Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation CoRL 2021