| Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL | May 26, 2025 | D4RLOffline RL | CodeCode Available | 0 |
| A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective | Mar 12, 2024 | D4RLreinforcement-learning | CodeCode Available | 0 |
| Diffusion Models as Optimizers for Efficient Planning in Offline RL | Jul 23, 2024 | D4RLDecision Making | CodeCode Available | 0 |
| DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement Learning | Oct 9, 2023 | D4RLOffline RL | CodeCode Available | 0 |
| DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation | May 23, 2024 | D4RLDecision Making | CodeCode Available | 0 |
| Pre-training with Synthetic Data Helps Offline Reinforcement Learning | Oct 1, 2023 | D4RLDeep Reinforcement Learning | CodeCode Available | 0 |
| Learning on One Mode: Addressing Multi-Modality in Offline Reinforcement Learning | Dec 4, 2024 | D4RLImitation Learning | CodeCode Available | 0 |
| CAWR: Corruption-Averse Advantage-Weighted Regression for Robust Policy Optimization | Jun 18, 2025 | D4RLOffline RL | CodeCode Available | 0 |
| d3rlpy: An Offline Deep Reinforcement Learning Library | Nov 6, 2021 | D4RLDeep Reinforcement Learning | CodeCode Available | 0 |
| Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model | Oct 27, 2024 | D4RLQ-Learning | CodeCode Available | 0 |
