| Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RL | Jun 22, 2021 | Deep Reinforcement LearningOffline RL | —Unverified | 0 |
| OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation | Jun 21, 2021 | Offline RLReinforcement Learning (RL) | CodeCode Available | 1 |
| Boosting Offline Reinforcement Learning with Residual Generative Modeling | Jun 19, 2021 | Offline RLQ-Learning | —Unverified | 0 |
| Offline RL Without Off-Policy Evaluation | Jun 16, 2021 | D4RLOffline RL | CodeCode Available | 1 |
| Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL | Jun 16, 2021 | D4RLDomain Generalization | —Unverified | 0 |
| On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning | Jun 15, 2021 | Deep Reinforcement LearningMixture-of-Experts | —Unverified | 0 |
| Reinforcement Learning as One Big Sequence Modeling Problem | Jun 13, 2021 | Imitation LearningOffline RL | CodeCode Available | 1 |
| A Minimalist Approach to Offline Reinforcement Learning | Jun 12, 2021 | Offline RLreinforcement-learning | CodeCode Available | 1 |
| Corruption-Robust Offline Reinforcement Learning | Jun 11, 2021 | Adversarial RobustnessOffline RL | —Unverified | 0 |
| Offline Reinforcement Learning as Anti-Exploration | Jun 11, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
