| Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear q^π-Realizability and Concentrability | May 27, 2024 | Computational EfficiencyOffline RL | —Unverified | 0 | 0 |
| Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding | Feb 23, 2024 | Offline RLreinforcement-learning | —Unverified | 0 | 0 |
| Transferred Q-learning | Feb 9, 2022 | Offline RLQ-Learning | —Unverified | 0 | 0 |
| UDQL: Bridging The Gap between MSE Loss and The Optimal Value Function in Offline Reinforcement Learning | Jun 5, 2024 | D4RLOffline RL | —Unverified | 0 | 0 |
| UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning | Nov 22, 2021 | Decision MakingOffline RL | —Unverified | 0 | 0 |
| Uncertainty-Aware Decision Transformer for Stochastic Driving Environments | Sep 28, 2023 | Autonomous DrivingOffline RL | —Unverified | 0 | 0 |
| Uncertainty-aware Distributional Offline Reinforcement Learning | Mar 26, 2024 | Offline RLreinforcement-learning | —Unverified | 0 | 0 |
| Uncertainty Regularized Policy Learning for Offline Reinforcement Learning | Sep 29, 2021 | D4RLOffline RL | —Unverified | 0 | 0 |
| Uncertainty Weighted Offline Reinforcement Learning | Jan 1, 2021 | Offline RLQ-Learning | —Unverified | 0 | 0 |
| Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization | Mar 31, 2023 | Offline RLQ-Learning | —Unverified | 0 | 0 |
