| Katakomba: Tools and Benchmarks for Data-Driven NetHack | Jun 14, 2023 | D4RLNetHack | CodeCode Available | 1 |
| Curricular Subgoals for Inverse Reinforcement Learning | Jun 14, 2023 | Autonomous DrivingD4RL | CodeCode Available | 1 |
| A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning | Jun 13, 2023 | D4RLEfficient Exploration | —Unverified | 0 |
| HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach | Jun 10, 2023 | D4RLData Augmentation | —Unverified | 0 |
| Iteratively Refined Behavior Regularization for Offline Reinforcement Learning | Jun 9, 2023 | D4RLOffline RL | —Unverified | 0 |
| Mildly Constrained Evaluation Policy for Offline Reinforcement Learning | Jun 6, 2023 | D4RLMuJoCo | CodeCode Available | 0 |
| Boosting Offline Reinforcement Learning with Action Preference Query | Jun 6, 2023 | Autonomous DrivingD4RL | —Unverified | 0 |
| Improving Offline RL by Blending Heuristics | Jun 1, 2023 | D4RLOffline RL | —Unverified | 0 |
| IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control | Jun 1, 2023 | D4RLModel-based Reinforcement Learning | —Unverified | 0 |
| Improving and Benchmarking Offline Reinforcement Learning Algorithms | Jun 1, 2023 | AttributeBenchmarking | CodeCode Available | 1 |
