| Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets | Oct 6, 2023 | D4RLDecision Making | CodeCode Available | 1 |
| Reasoning with Latent Diffusion in Offline Reinforcement Learning | Sep 12, 2023 | D4RLOffline RL | CodeCode Available | 1 |
| Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning | Jul 1, 2023 | D4RLmodel | CodeCode Available | 1 |
| Curricular Subgoals for Inverse Reinforcement Learning | Jun 14, 2023 | Autonomous DrivingD4RL | CodeCode Available | 1 |
| Katakomba: Tools and Benchmarks for Data-Driven NetHack | Jun 14, 2023 | D4RLNetHack | CodeCode Available | 1 |
| Improving and Benchmarking Offline Reinforcement Learning Algorithms | Jun 1, 2023 | AttributeBenchmarking | CodeCode Available | 1 |
| Efficient Diffusion Policies for Offline Reinforcement Learning | May 31, 2023 | D4RLOffline RL | CodeCode Available | 1 |
| Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation | May 31, 2023 | D4RLLanguage Modelling | CodeCode Available | 1 |
| When should we prefer Decision Transformers for Offline Reinforcement Learning? | May 23, 2023 | D4RLImitation Learning | CodeCode Available | 1 |
| Revisiting the Minimalist Approach to Offline Reinforcement Learning | May 16, 2023 | D4RLOffline RL | CodeCode Available | 1 |
