| A Minimalist Approach to Offline Reinforcement Learning | Jun 12, 2021 | Offline RLreinforcement-learning | CodeCode Available | 1 | 5 |
| Conservative Offline Distributional Reinforcement Learning | Jul 12, 2021 | D4RLDistributional Reinforcement Learning | CodeCode Available | 1 | 5 |
| Conservative Q-Learning for Offline Reinforcement Learning | Jun 8, 2020 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Zero-Shot Reinforcement Learning from Low Quality Data | Sep 26, 2023 | Offline RLreinforcement-learning | CodeCode Available | 1 | 5 |
| Reliable Conditioning of Behavioral Cloning for Offline Reinforcement Learning | Oct 11, 2022 | Offline RLreinforcement-learning | CodeCode Available | 1 | 5 |
| Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning | Sep 29, 2023 | Image GenerationOffline RL | CodeCode Available | 1 | 5 |
| Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning | Dec 25, 2024 | Decision MakingOffline RL | CodeCode Available | 1 | 5 |
| Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search | May 24, 2024 | Code GenerationLanguage Modelling | CodeCode Available | 1 | 5 |
| Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation | Jul 10, 2023 | Decision MakingInteractive Recommendation | CodeCode Available | 1 | 5 |
| In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning | Dec 12, 2024 | Offline RL | CodeCode Available | 1 | 5 |
