| FOSP: Fine-tuning Offline Safe Policy through World Models | Jul 6, 2024 | Model-based Reinforcement LearningOffline RL | —Unverified | 0 |
| Contrastive Learning as Goal-Conditioned Reinforcement Learning | Jun 15, 2022 | Contrastive LearningData Augmentation | —Unverified | 0 |
| BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning | Jul 15, 2024 | Model-based Reinforcement LearningOffline RL | —Unverified | 0 |
| Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning | Feb 5, 2024 | Contrastive LearningD4RL | —Unverified | 0 |
| BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion | Jul 16, 2022 | Offline RLreinforcement-learning | —Unverified | 0 |
| Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models | May 18, 2023 | MuJoCoOffline RL | —Unverified | 0 |
| Contextual Transformer for Offline Meta Reinforcement Learning | Nov 15, 2022 | D4RLMeta Reinforcement Learning | —Unverified | 0 |
| Context-Former: Stitching via Latent Conditioned Sequence Modeling | Jan 29, 2024 | D4RLDecision Making | —Unverified | 0 |
| AdaCred: Adaptive Causal Decision Transformers with Feature Crediting | Dec 19, 2024 | AttributeImitation Learning | —Unverified | 0 |
| From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning | Jul 17, 2025 | D4RLOffline RL | —Unverified | 0 |
| Constraints Penalized Q-learning for Safe Offline Reinforcement Learning | Jul 19, 2021 | Offline RLQ-Learning | —Unverified | 0 |
| Align Your Intents: Offline Imitation Learning via Optimal Transport | Feb 20, 2024 | D4RLDecision Making | —Unverified | 0 |
| Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning | Jun 1, 2023 | FairnessOffline RL | —Unverified | 0 |
| Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning | Mar 7, 2023 | Continuous ControlOffline RL | —Unverified | 0 |
| Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning | May 12, 2024 | Offline RLReinforcement Learning (RL) | —Unverified | 0 |
| Conservative Data Sharing for Multi-Task Offline Reinforcement Learning | Sep 16, 2021 | Offline RLreinforcement-learning | —Unverified | 0 |
| Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation | Dec 16, 2020 | Deep Reinforcement LearningDistributional Reinforcement Learning | —Unverified | 0 |
| ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles | Jun 12, 2023 | Offline RLreinforcement-learning | —Unverified | 0 |
| Confidence-Conditioned Value Functions for Offline Reinforcement Learning | Dec 8, 2022 | Offline RLreinforcement-learning | —Unverified | 0 |
| Enhancing Reinforcement Learning Through Guided Search | Aug 19, 2024 | Offline RLreinforcement-learning | —Unverified | 0 |
| Enhancing Pre-Trained Decision Transformers with Prompt-Tuning Bandits | Feb 7, 2025 | InformativenessOffline RL | —Unverified | 0 |
| A Validation Tool for Designing Reinforcement Learning Environments | Dec 10, 2021 | Offline RLreinforcement-learning | —Unverified | 0 |
| Automatic Trade-off Adaptation in Offline RL | Jun 16, 2023 | Offline RL | —Unverified | 0 |
| Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective | Feb 17, 2025 | Bayesian Optimizationmodel | —Unverified | 0 |
| Enhancing Cross-domain Pre-Trained Decision Transformers with Adaptive Attention | Sep 11, 2024 | Offline RL | —Unverified | 0 |