| Leveraging Domain-Unlabeled Data in Offline Reinforcement Learning across Two Domains | Apr 11, 2024 | Offline RLReinforcement Learning (RL) | —Unverified | 0 |
| Generative Probabilistic Planning for Optimizing Supply Chain Networks | Apr 11, 2024 | Deep Reinforcement LearningOffline RL | —Unverified | 0 |
| Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning | Apr 6, 2024 | D4RLOffline RL | CodeCode Available | 0 |
| CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning | Mar 29, 2024 | counterfactualOffline RL | —Unverified | 0 |
| Scaling Vision-and-Language Navigation With Offline RL | Mar 27, 2024 | Offline RLVision and Language Navigation | —Unverified | 0 |
| Uncertainty-aware Distributional Offline Reinforcement Learning | Mar 26, 2024 | Offline RLreinforcement-learning | —Unverified | 0 |
| Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling | Mar 25, 2024 | Offline RLRecommendation Systems | —Unverified | 0 |
| The Value of Reward Lookahead in Reinforcement Learning | Mar 18, 2024 | Offline RLreinforcement-learning | —Unverified | 0 |
| Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning | Mar 14, 2024 | Offline RLReinforcement Learning (RL) | —Unverified | 0 |
| Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning | Mar 9, 2024 | Decision MakingOffline RL | —Unverified | 0 |