| The Generalization Gap in Offline Reinforcement Learning | Dec 10, 2023 | Offline RLreinforcement-learning | CodeCode Available | 1 |
| MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator | Dec 7, 2023 | Offline RLreinforcement-learning | CodeCode Available | 0 |
| Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization | Dec 7, 2023 | Model-based Reinforcement LearningOffline RL | —Unverified | 0 |
| Evaluation of Active Feature Acquisition Methods for Static Feature Settings | Dec 6, 2023 | Offline RLreinforcement-learning | —Unverified | 0 |
| Diffused Task-Agnostic Milestone Planner | Dec 6, 2023 | Decision MakingOffline RL | —Unverified | 0 |
| H-GAP: Humanoid Control with a Generalist Planner | Dec 5, 2023 | Humanoid ControlModel Predictive Control | —Unverified | 0 |
| SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation | Nov 30, 2023 | Offline RLOff-policy evaluation | CodeCode Available | 1 |
| Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective | Nov 29, 2023 | Offline RLreinforcement-learning | —Unverified | 0 |
| Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Offline Reinforcement Learning | Nov 29, 2023 | AstronomyOffline RL | —Unverified | 0 |
| A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning | Nov 27, 2023 | Offline RLReinforcement Learning (RL) | —Unverified | 0 |
