Offline RL

Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes NeurIPS 2020 GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values ICML 2020 Human-centric dialog training via offline reinforcement learning EMNLP 2020 Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies ICLR 2020 Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions ICML 2020 Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning ICLR 2020 Learning Dexterous Manipulation from Suboptimal Experts CoRL 2020 Meta-Q-Learning ICLR 2020 Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation ICML 2020 Minimax Value Interval for Off-Policy Evaluation and Policy Optimization NeurIPS 2020 Minimax Weight and Q-Function Learning for Off-Policy Evaluation ICML 2020 MOPO: Model-based Offline Policy Optimization NeurIPS 2020 MOReL: Model-Based Offline Reinforcement Learning NeurIPS 2020 Multi-task Batch Reinforcement Learning with Metric Learning NeurIPS 2020 Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning CoRL 2020 Offline Imitation Learning with a Misspecified Simulator NeurIPS 2020 Off-Policy Actor-Critic with Shared Experience Replay ICML 2020 Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NeurIPS 2020 Off-Policy Evaluation in Partially Observable Environments AAAI 2020 Off-Policy Evaluation via the Regularized Lagrangian NeurIPS 2020 Off-Policy Imitation Learning from Observations NeurIPS 2020 Off-Policy Interval Estimation with Lipschitz Value Iteration NeurIPS 2020 Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding NeurIPS 2020 PLAS: Latent Action Space for Offline Reinforcement Learning CoRL 2020 POPCORN: Partially Observed Prediction Constrained Reinforcement Learning AISTATS 2020