| Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning | Jul 29, 2024 | Offline RLreinforcement-learning | —Unverified | 0 |
| A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data | Jul 23, 2024 | Autonomous DrivingAutonomous Racing | CodeCode Available | 2 |
| Diffusion Models as Optimizers for Efficient Planning in Offline RL | Jul 23, 2024 | D4RLDecision Making | CodeCode Available | 0 |
| ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems | Jul 18, 2024 | Offline RLRecommendation Systems | CodeCode Available | 0 |
| Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning | Jul 17, 2024 | Autonomous DrivingDecision Making | —Unverified | 0 |
| BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning | Jul 15, 2024 | Model-based Reinforcement LearningOffline RL | —Unverified | 0 |
| Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning | Jul 10, 2024 | Decision MakingOffline RL | —Unverified | 0 |
| FOSP: Fine-tuning Offline Safe Policy through World Models | Jul 6, 2024 | Model-based Reinforcement LearningOffline RL | —Unverified | 0 |
| Robust Decision Transformer: Tackling Data Corruption in Offline RL via Sequence Modeling | Jul 5, 2024 | Offline RLReinforcement Learning (RL) | —Unverified | 0 |
| To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning | Jul 1, 2024 | Offline RLReinforcement Learning (RL) | —Unverified | 0 |
