| From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning | Jul 17, 2025 | D4RLOffline RL | —Unverified | 0 |
| Goal-Conditioned Data Augmentation for Offline Reinforcement Learning | Dec 29, 2024 | D4RLData Augmentation | —Unverified | 0 |
| Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning | Oct 27, 2023 | Autonomous DrivingD4RL | —Unverified | 0 |
| Hierarchical Decision Transformer | Sep 21, 2022 | D4RLreinforcement-learning | —Unverified | 0 |
| HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach | Jun 10, 2023 | D4RLData Augmentation | —Unverified | 0 |
| Imagination-Limited Q-Learning for Offline Reinforcement Learning | May 18, 2025 | D4RLQ-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 |
| 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 |
| KAN v.s. MLP for Offline Reinforcement Learning | Sep 15, 2024 | D4RLKolmogorov-Arnold Networks | —Unverified | 0 |
| Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RL | Jun 1, 2022 | D4RLOffline RL | —Unverified | 0 |
| Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics | Nov 2, 2021 | D4RLData Augmentation | —Unverified | 0 |
| Learning Computational Efficient Bots with Costly Features | Aug 18, 2023 | Computational EfficiencyD4RL | —Unverified | 0 |
| Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models | May 30, 2024 | D4RLreinforcement-learning | —Unverified | 0 |
| Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network | Feb 1, 2025 | continuous-controlContinuous Control | —Unverified | 0 |
| Model-based Offline Reinforcement Learning with Local Misspecification | Jan 26, 2023 | D4RLmodel | —Unverified | 0 |
| Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation | Mar 26, 2025 | D4RLData Augmentation | —Unverified | 0 |
| Model-based trajectory stitching for improved behavioural cloning and its applications | Dec 8, 2022 | Behavioural cloningBenchmarking | —Unverified | 0 |
| MOORe: Model-based Offline-to-Online Reinforcement Learning | Jan 25, 2022 | D4RLmodel | —Unverified | 0 |
| Policy-Based Trajectory Clustering in Offline Reinforcement Learning | Jun 10, 2025 | ClusteringD4RL | —Unverified | 0 |
| Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning | May 19, 2025 | D4RLmodel | —Unverified | 0 |
| Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning | May 9, 2025 | D4RLOffline RL | —Unverified | 0 |
| Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning | Jun 27, 2023 | D4RLOffline RL | —Unverified | 0 |
| Projection Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning | Jan 15, 2025 | D4RLQ-Learning | —Unverified | 0 |
