| Equivariant Offline Reinforcement Learning | Jun 20, 2024 | Offline RLQ-Learning | —Unverified | 0 | 0 |
| Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning | Sep 14, 2023 | Data AugmentationOffline RL | —Unverified | 0 | 0 |
| Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning | Mar 7, 2023 | Continuous ControlOffline RL | —Unverified | 0 | 0 |
| Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning | May 12, 2024 | Offline RLReinforcement Learning (RL) | —Unverified | 0 | 0 |
| Conservative Data Sharing for Multi-Task Offline Reinforcement Learning | Sep 16, 2021 | Offline RLreinforcement-learning | —Unverified | 0 | 0 |
| Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation | Dec 16, 2020 | Deep Reinforcement LearningDistributional Reinforcement Learning | —Unverified | 0 | 0 |
| Align Your Intents: Offline Imitation Learning via Optimal Transport | Feb 20, 2024 | D4RLDecision Making | —Unverified | 0 | 0 |
| Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning | Jun 1, 2023 | FairnessOffline RL | —Unverified | 0 | 0 |
| ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles | Jun 12, 2023 | Offline RLreinforcement-learning | —Unverified | 0 | 0 |
| Confidence-Conditioned Value Functions for Offline Reinforcement Learning | Dec 8, 2022 | Offline RLreinforcement-learning | —Unverified | 0 | 0 |
