| Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL | May 26, 2025 | D4RLOffline RL | CodeCode Available | 0 | 5 |
| Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning | Dec 11, 2024 | Autonomous DrivingOffline RL | CodeCode Available | 0 | 5 |
| Corruption-Robust Offline Reinforcement Learning with General Function Approximation | Oct 23, 2023 | Offline RLreinforcement-learning | CodeCode Available | 0 | 5 |
| Learning from Sparse Offline Datasets via Conservative Density Estimation | Jan 16, 2024 | D4RLDensity Estimation | CodeCode Available | 0 | 5 |
| Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning? | Jun 10, 2024 | Deep Reinforcement LearningOffline RL | CodeCode Available | 0 | 5 |
| Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning | Nov 29, 2022 | Offline RLreinforcement-learning | CodeCode Available | 0 | 5 |
| Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? | May 20, 2024 | Atari GamesMamba | CodeCode Available | 0 | 5 |
| Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning | Feb 28, 2023 | Offline RLreinforcement-learning | CodeCode Available | 0 | 5 |
| Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning | Aug 22, 2024 | Offline RLReinforcement Learning (RL) | CodeCode Available | 0 | 5 |
| Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning | Jun 14, 2022 | continuous-controlContinuous Control | CodeCode Available | 0 | 5 |
