| Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning | Jun 22, 2023 | Data AugmentationOffline RL | CodeCode Available | 1 |
| Decision Transformer: Reinforcement Learning via Sequence Modeling | Jun 2, 2021 | Atari GamesD4RL | CodeCode Available | 1 |
| Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes | Oct 12, 2021 | Offline RLReinforcement Learning (RL) | CodeCode Available | 1 |
| Dual RL: Unification and New Methods for Reinforcement and Imitation Learning | Feb 16, 2023 | Imitation LearningOffline RL | CodeCode Available | 1 |
| Behavior Proximal Policy Optimization | Feb 22, 2023 | D4RLOffline RL | CodeCode Available | 1 |
| An Optimistic Perspective on Offline Deep Reinforcement Learning | Jan 1, 2020 | Atari GamesDeep Reinforcement Learning | CodeCode Available | 1 |
| Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets | Oct 6, 2023 | D4RLDecision Making | CodeCode Available | 1 |
| Critic-Guided Decision Transformer for Offline Reinforcement Learning | Dec 21, 2023 | D4RLOffline RL | CodeCode Available | 1 |
| Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning | Sep 22, 2023 | counterfactualMulti-agent Reinforcement Learning | CodeCode Available | 1 |
| Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL | Jun 7, 2023 | Data AugmentationOffline RL | CodeCode Available | 1 |
| Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization | Jun 5, 2020 | Offline RLreinforcement-learning | CodeCode Available | 1 |
| MADiff: Offline Multi-agent Learning with Diffusion Models | May 27, 2023 | Offline RLQ-Learning | CodeCode Available | 1 |
| BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets | Oct 7, 2022 | Autonomous DrivingBackdoor Attack | CodeCode Available | 1 |
| MoCoDA: Model-based Counterfactual Data Augmentation | Oct 20, 2022 | counterfactualData Augmentation | CodeCode Available | 1 |
| Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings | Jul 23, 2021 | Computational EfficiencyDecision Making | CodeCode Available | 1 |
| MOPO: Model-based Offline Policy Optimization | May 27, 2020 | continuous-controlContinuous Control | CodeCode Available | 1 |
| A Policy-Guided Imitation Approach for Offline Reinforcement Learning | Oct 15, 2022 | D4RLOffline RL | CodeCode Available | 1 |
| FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization | Oct 2, 2020 | Meta Reinforcement LearningMetric Learning | CodeCode Available | 1 |
| ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update | Feb 1, 2024 | Imitation LearningOffline RL | CodeCode Available | 1 |
| Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL | May 28, 2024 | Offline RLReinforcement Learning (RL) | CodeCode Available | 1 |
| cosFormer: Rethinking Softmax in Attention | Feb 17, 2022 | D4RLLanguage Modeling | CodeCode Available | 1 |
| Decoupled Prioritized Resampling for Offline RL | Jun 8, 2023 | Offline RLReinforcement Learning (RL) | CodeCode Available | 1 |
| When should we prefer Decision Transformers for Offline Reinforcement Learning? | May 23, 2023 | D4RLImitation Learning | CodeCode Available | 1 |
| Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 Diabetes | Apr 7, 2022 | Offline RLReinforcement Learning (RL) | CodeCode Available | 1 |
| COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation | Apr 19, 2022 | Offline RLOff-policy evaluation | CodeCode Available | 1 |
