| Finetuning Offline World Models in the Real World | Oct 24, 2023 | Offline RLReinforcement Learning (RL) | —Unverified | 0 | 0 |
| Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions | Mar 30, 2023 | DiversityOffline RL | —Unverified | 0 | 0 |
| Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning | Feb 5, 2024 | Contrastive LearningD4RL | —Unverified | 0 | 0 |
| Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting | Dec 5, 2024 | D4RLOffline RL | —Unverified | 0 | 0 |
| Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching | Jun 24, 2023 | Imitation LearningOffline RL | —Unverified | 0 | 0 |
| BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion | Jul 16, 2022 | Offline RLreinforcement-learning | —Unverified | 0 | 0 |
| Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices | Feb 8, 2024 | Federated LearningOffline RL | —Unverified | 0 | 0 |
| Federated Offline Reinforcement Learning | Jun 11, 2022 | Offline RLPrivacy Preserving | —Unverified | 0 | 0 |
| Contextual Transformer for Offline Meta Reinforcement Learning | Nov 15, 2022 | D4RLMeta Reinforcement Learning | —Unverified | 0 | 0 |
| Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL | May 13, 2025 | Offline RLSafe Reinforcement Learning | —Unverified | 0 | 0 |
