Offline RL

Offline Reinforcement Learning with Reverse Model-based Imagination NeurIPS 2021 Offline RL Without Off-Policy Evaluation NeurIPS 2021 Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble CoRL 2021 Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders AISTATS 2021 Off-Policy Risk Assessment in Contextual Bandits NeurIPS 2021 Online and Offline Reinforcement Learning by Planning with a Learned Model NeurIPS 2021 Online Sparse Reinforcement Learning AISTATS 2021 On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game ICML 2021 On the Optimality of Batch Policy Optimization Algorithms ICML 2021 OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning ICLR 2021 OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation ICML 2021 Optimal Off-Policy Evaluation from Multiple Logging Policies ICML 2021 Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings NeurIPS 2021 PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training ICML 2021 PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators NeurIPS 2021 Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL NeurIPS 2021 Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning NeurIPS 2021 Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning NeurIPS 2021 Provable Representation Learning for Imitation with Contrastive Fourier Features NeurIPS 2021 Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NeurIPS 2021 Regret Minimization Experience Replay in Off-Policy Reinforcement Learning NeurIPS 2021 Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes NeurIPS 2021 Representation Balancing Offline Model-based Reinforcement Learning ICLR 2021 Representation Matters: Offline Pretraining for Sequential Decision Making ICML 2021 Risk-Averse Offline Reinforcement Learning ICLR 2021