| Efficient Reinforcement Learning via Decoupling Exploration and Utilization | Dec 26, 2023 | Autonomous VehiclesMuJoCo | CodeCode Available | 1 |
| World Models via Policy-Guided Trajectory Diffusion | Dec 13, 2023 | continuous-controlContinuous Control | CodeCode Available | 1 |
| Optimistic Multi-Agent Policy Gradient | Nov 3, 2023 | MuJoCoQ-Learning | CodeCode Available | 1 |
| Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning | Oct 19, 2023 | MuJoCoPrompt Engineering | CodeCode Available | 1 |
| Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling | Sep 20, 2023 | Deep Reinforcement LearningModel-based Reinforcement Learning | CodeCode Available | 1 |
| A Bayesian Approach to Robust Inverse Reinforcement Learning | Sep 15, 2023 | Imitation LearningMuJoCo | CodeCode Available | 1 |
| Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization | Jul 21, 2023 | ManagementMuJoCo | CodeCode Available | 1 |
| Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation | Jul 17, 2023 | MuJoCoreinforcement-learning | CodeCode Available | 1 |
| Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration | May 29, 2023 | MuJoCo | CodeCode Available | 1 |
| Policy Representation via Diffusion Probability Model for Reinforcement Learning | May 22, 2023 | continuous-controlContinuous Control | CodeCode Available | 1 |
