| Offline Trajectory Generalization for Offline Reinforcement Learning | Apr 16, 2024 | D4RLData Augmentation | —Unverified | 0 | 0 |
| OffRIPP: Offline RL-based Informative Path Planning | Sep 25, 2024 | Offline RLreinforcement-learning | —Unverified | 0 | 0 |
| OmniRL: In-Context Reinforcement Learning by Large-Scale Meta-Training in Randomized Worlds | Feb 5, 2025 | Few-Shot LearningImitation Learning | —Unverified | 0 | 0 |
| Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks | Mar 11, 2021 | Offline RLreinforcement-learning | —Unverified | 0 | 0 |
| On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation | Nov 23, 2022 | Offline RLreinforcement-learning | —Unverified | 0 | 0 |
| On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning | Jun 15, 2021 | Deep Reinforcement LearningMixture-of-Experts | —Unverified | 0 | 0 |
| On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond | Jan 6, 2024 | Decision MakingDiversity | —Unverified | 0 | 0 |
| On the Role of Discount Factor in Offline Reinforcement Learning | Jun 7, 2022 | D4RLOffline RL | —Unverified | 0 | 0 |
| On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples | Mar 7, 2023 | Offline RLOff-policy evaluation | —Unverified | 0 | 0 |
| On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures | Jan 3, 2025 | Offline RLReinforcement Learning (RL) | —Unverified | 0 | 0 |