| Conservative Q-Learning for Offline Reinforcement Learning | Jun 8, 2020 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| DataLight: Offline Data-Driven Traffic Signal Control | Mar 20, 2023 | Offline RLReinforcement Learning (RL) | CodeCode Available | 1 | 5 |
| Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning | May 24, 2023 | Offline RLReinforcement Learning (RL) | CodeCode Available | 1 | 5 |
| Are Expressive Models Truly Necessary for Offline RL? | Dec 15, 2024 | D4RLOffline RL | CodeCode Available | 1 | 5 |
| COMBO: Conservative Offline Model-Based Policy Optimization | Feb 16, 2021 | modelOffline RL | CodeCode Available | 1 | 5 |
| A Policy-Guided Imitation Approach for Offline Reinforcement Learning | Oct 15, 2022 | D4RLOffline RL | CodeCode Available | 1 | 5 |
| CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System | Apr 4, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Zero-Shot Reinforcement Learning from Low Quality Data | Sep 26, 2023 | Offline RLreinforcement-learning | CodeCode Available | 1 | 5 |
| Diffusion Policies creating a Trust Region for Offline Reinforcement Learning | May 30, 2024 | D4RLDenoising | CodeCode Available | 1 | 5 |
| Direct Preference-based Policy Optimization without Reward Modeling | Jan 30, 2023 | Contrastive LearningOffline RL | CodeCode Available | 1 | 5 |
