Offline RL

Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift AAAI 2019 Off-Policy Deep Reinforcement Learning without Exploration ICML 2019 Off-Policy Evaluation via Off-Policy Classification NeurIPS 2019 Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function NeurIPS 2019 Optimistic Policy Optimization via Multiple Importance Sampling ICML 2019 Policy Poisoning in Batch Reinforcement Learning and Control NeurIPS 2019 Remember and Forget for Experience Replay ICML 2019 Safe Policy Improvement with Baseline Bootstrapping ICML 2019 Semi-Parametric Efficient Policy Learning with Continuous Actions NeurIPS 2019 Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction NeurIPS 2019 Surrogate Objectives for Batch Policy Optimization in One-step Decision Making NeurIPS 2019 Target-Based Temporal-Difference Learning ICML 2019 Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling NeurIPS 2019 Trajectory-Based Off-Policy Deep Reinforcement Learning ICML 2019 Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples NeurIPS 2019 Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts IJCAI 2019 Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation NeurIPS 2018 Exponentially Weighted Imitation Learning for Batched Historical Data NeurIPS 2018 Importance Sampling for Fair Policy Selection IJCAI 2018 Importance Weighted Transfer of Samples in Reinforcement Learning ICML 2018 More Robust Doubly Robust Off-policy Evaluation ICML 2018 Reinforcement Learning Algorithm Selection ICLR 2018 Representation Balancing MDPs for Off-policy Policy Evaluation NeurIPS 2018 Self-Imitation Learning ICML 2018 Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor ICML 2018