| Diverse Transformer Decoding for Offline Reinforcement Learning Using Financial Algorithmic Approaches | Feb 13, 2025 | D4RLOffline RL | —Unverified | 0 | 0 |
| DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning | Sep 16, 2023 | D4RLmodel | —Unverified | 0 | 0 |
| DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization | Dec 9, 2021 | Atari GamesD4RL | —Unverified | 0 | 0 |
| DRDT3: Diffusion-Refined Decision Test-Time Training Model | Jan 12, 2025 | D4RLOffline RL | —Unverified | 0 | 0 |
| Elastic Decision Transformer | Jul 5, 2023 | Atari GamesD4RL | —Unverified | 0 | 0 |
| EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL | Jul 21, 2020 | D4RLDecision Making | —Unverified | 0 | 0 |
| Emergent Agentic Transformer from Chain of Hindsight Experience | May 26, 2023 | D4RLImitation Learning | —Unverified | 0 | 0 |
| Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generation | Nov 18, 2024 | D4RLReinforcement Learning (RL) | —Unverified | 0 | 0 |
| Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting | Dec 5, 2024 | D4RLOffline RL | —Unverified | 0 | 0 |
| Fine-Tuning Offline Reinforcement Learning with Model-Based Policy Optimization | Jan 1, 2021 | D4RLMuJoCo | —Unverified | 0 | 0 |
| Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery | Dec 2, 2022 | D4RLreinforcement-learning | —Unverified | 0 | 0 |
| Forward KL Regularized Preference Optimization for Aligning Diffusion Policies | Sep 9, 2024 | D4RLDecision Making | —Unverified | 0 | 0 |
| Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning | May 30, 2024 | D4RLDecision Making | —Unverified | 0 | 0 |
| From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning | Jul 17, 2025 | D4RLOffline RL | —Unverified | 0 | 0 |
| Goal-Conditioned Data Augmentation for Offline Reinforcement Learning | Dec 29, 2024 | D4RLData Augmentation | —Unverified | 0 | 0 |
| 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 |
