| Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning | Mar 7, 2023 | Continuous ControlOffline RL | —Unverified | 0 |
| Graph Decision Transformer | Mar 7, 2023 | Offline RLOpenAI Gym | —Unverified | 0 |
| On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples | Mar 7, 2023 | Offline RLOff-policy evaluation | —Unverified | 0 |
| Decision Transformer under Random Frame Dropping | Mar 3, 2023 | Deep Reinforcement LearningMuJoCo | CodeCode Available | 0 |
| Learning to Influence Human Behavior with Offline Reinforcement Learning | Mar 3, 2023 | Autonomous DrivingOffline RL | —Unverified | 0 |
| Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning | Feb 28, 2023 | Offline RLreinforcement-learning | CodeCode Available | 0 |
| The In-Sample Softmax for Offline Reinforcement Learning | Feb 28, 2023 | Offline RLreinforcement-learning | CodeCode Available | 1 |
| The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning | Feb 27, 2023 | Offline RLreinforcement-learning | —Unverified | 0 |
| Gauss-Newton Temporal Difference Learning with Nonlinear Function Approximation | Feb 25, 2023 | Offline RLQ-Learning | —Unverified | 0 |
| VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation | Feb 24, 2023 | Computational EfficiencyOffline RL | CodeCode Available | 0 |
