| Representation Balancing Offline Model-based Reinforcement Learning | Jan 1, 2021 | modelModel-based Reinforcement Learning | —Unverified | 0 |
| Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL | Dec 25, 2024 | Offline RLReinforcement Learning (RL) | CodeCode Available | 0 |
| ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems | Jul 18, 2024 | Offline RLRecommendation Systems | CodeCode Available | 0 |
| Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning | Feb 28, 2023 | Offline RLreinforcement-learning | CodeCode Available | 0 |
| Learning from Sparse Offline Datasets via Conservative Density Estimation | Jan 16, 2024 | D4RLDensity Estimation | CodeCode Available | 0 |
| S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning | Sep 30, 2022 | Data AugmentationImage Generation | CodeCode Available | 0 |
| On the Effectiveness of Offline RL for Dialogue Response Generation | Jul 23, 2023 | Offline RLreinforcement-learning | CodeCode Available | 0 |
| The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning | May 25, 2023 | Distributional Reinforcement LearningOffline RL | CodeCode Available | 0 |
| Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning | Dec 11, 2024 | Autonomous DrivingOffline RL | CodeCode Available | 0 |
| Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning? | Jun 10, 2024 | Deep Reinforcement LearningOffline RL | CodeCode Available | 0 |
