| Federated Offline Reinforcement Learning | Jun 11, 2022 | Offline RLPrivacy Preserving | —Unverified | 0 |
| Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices | Feb 8, 2024 | Federated LearningOffline RL | —Unverified | 0 |
| Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching | Jun 24, 2023 | Imitation LearningOffline RL | —Unverified | 0 |
| Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting | Dec 5, 2024 | D4RLOffline RL | —Unverified | 0 |
| Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions | Mar 30, 2023 | DiversityOffline RL | —Unverified | 0 |
| Finetuning Offline World Models in the Real World | Oct 24, 2023 | Offline RLReinforcement Learning (RL) | —Unverified | 0 |
| Flexible Blood Glucose Control: Offline Reinforcement Learning from Human Feedback | Jan 27, 2025 | Offline RLReinforcement Learning (RL) | —Unverified | 0 |
| Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning | Jun 26, 2025 | Action GenerationDecision Making | —Unverified | 0 |
| FOSP: Fine-tuning Offline Safe Policy through World Models | Jul 6, 2024 | Model-based Reinforcement LearningOffline RL | —Unverified | 0 |
| From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning | Jul 17, 2025 | D4RLOffline RL | —Unverified | 0 |
