| Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization | Jun 5, 2020 | Offline RLreinforcement-learning | CodeCode Available | 1 |
| LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning | May 7, 2024 | Offline RLRobot Manipulation | CodeCode Available | 1 |
| Masked Trajectory Models for Prediction, Representation, and Control | May 4, 2023 | continuous-controlContinuous Control | CodeCode Available | 1 |
| BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets | Oct 7, 2022 | Autonomous DrivingBackdoor Attack | CodeCode Available | 1 |
| Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning | Jul 1, 2023 | D4RLmodel | CodeCode Available | 1 |
| Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings | Jul 23, 2021 | Computational EfficiencyDecision Making | CodeCode Available | 1 |
| A Policy-Guided Imitation Approach for Offline Reinforcement Learning | Oct 15, 2022 | D4RLOffline RL | CodeCode Available | 1 |
| Efficient Diffusion Policies for Offline Reinforcement Learning | May 31, 2023 | D4RLOffline RL | CodeCode Available | 1 |
| NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios | Mar 25, 2025 | BenchmarkingOffline RL | CodeCode Available | 1 |
| Efficient Offline Policy Optimization with a Learned Model | Oct 12, 2022 | Offline RL | CodeCode Available | 1 |
