| Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning | Oct 27, 2023 | Autonomous DrivingD4RL | —Unverified | 0 | 0 |
| Hierarchical Decision Transformer | Sep 21, 2022 | D4RLreinforcement-learning | —Unverified | 0 | 0 |
| HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach | Jun 10, 2023 | D4RLData Augmentation | —Unverified | 0 | 0 |
| Imagination-Limited Q-Learning for Offline Reinforcement Learning | May 18, 2025 | D4RLQ-Learning | —Unverified | 0 | 0 |
| Improving Offline Reinforcement Learning with Inaccurate Simulators | May 7, 2024 | D4RLGenerative Adversarial Network | —Unverified | 0 | 0 |
| Improving Offline RL by Blending Heuristics | Jun 1, 2023 | D4RLOffline RL | —Unverified | 0 | 0 |
| Iteratively Refined Behavior Regularization for Offline Reinforcement Learning | Jun 9, 2023 | D4RLOffline RL | —Unverified | 0 | 0 |
| IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control | Jun 1, 2023 | D4RLModel-based Reinforcement Learning | —Unverified | 0 | 0 |
| KAN v.s. MLP for Offline Reinforcement Learning | Sep 15, 2024 | D4RLKolmogorov-Arnold Networks | —Unverified | 0 | 0 |
| Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RL | Jun 1, 2022 | D4RLOffline RL | —Unverified | 0 | 0 |
