| Targeted Environment Design from Offline Data | Sep 29, 2021 | Offline RLReinforcement Learning (RL) | —Unverified | 0 | 0 |
| The Challenges of Exploration for Offline Reinforcement Learning | Jan 27, 2022 | Model Predictive ControlOffline RL | —Unverified | 0 | 0 |
| The Essential Elements of Offline RL via Supervised Learning | Sep 29, 2021 | Offline RLreinforcement-learning | —Unverified | 0 | 0 |
| The Least Restriction for Offline Reinforcement Learning | Jul 5, 2021 | Offline RLQ-Learning | —Unverified | 0 | 0 |
| The Pitfalls of Imitation Learning when Actions are Continuous | Mar 12, 2025 | ChunkingImitation Learning | —Unverified | 0 | 0 |
| The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning | Feb 27, 2023 | Offline RLreinforcement-learning | —Unverified | 0 | 0 |
| The reinforcement learning-based multi-agent cooperative approach for the adaptive speed regulation on a metallurgical pickling line | Aug 16, 2020 | Multi-agent Reinforcement LearningOffline RL | —Unverified | 0 | 0 |
| The Role of Coverage in Online Reinforcement Learning | Oct 9, 2022 | Efficient ExplorationOffline RL | —Unverified | 0 | 0 |
| The Role of Inherent Bellman Error in Offline Reinforcement Learning with Linear Function Approximation | Jun 17, 2024 | Offline RL | —Unverified | 0 | 0 |
| The Value of Reward Lookahead in Reinforcement Learning | Mar 18, 2024 | Offline RLreinforcement-learning | —Unverified | 0 | 0 |