| A Behavior Regularized Implicit Policy for Offline Reinforcement Learning | Feb 19, 2022 | D4RLreinforcement-learning | —Unverified | 0 |
| Forward KL Regularized Preference Optimization for Aligning Diffusion Policies | Sep 9, 2024 | D4RLDecision Making | —Unverified | 0 |
| Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery | Dec 2, 2022 | D4RLreinforcement-learning | —Unverified | 0 |
| Improving Offline Reinforcement Learning with Inaccurate Simulators | May 7, 2024 | D4RLGenerative Adversarial Network | —Unverified | 0 |
| Improving Offline RL by Blending Heuristics | Jun 1, 2023 | D4RLOffline RL | —Unverified | 0 |
| SelfBC: Self Behavior Cloning for Offline Reinforcement Learning | Aug 4, 2024 | AttributeD4RL | —Unverified | 0 |
| Iteratively Refined Behavior Regularization for Offline Reinforcement Learning | Jun 9, 2023 | D4RLOffline RL | —Unverified | 0 |
| IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control | Jun 1, 2023 | D4RLModel-based Reinforcement Learning | —Unverified | 0 |
| Fine-Tuning Offline Reinforcement Learning with Model-Based Policy Optimization | Jan 1, 2021 | D4RLMuJoCo | —Unverified | 0 |
| Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting | Dec 5, 2024 | D4RLOffline RL | —Unverified | 0 |
