| Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning | Oct 2, 2023 | Offline RLreinforcement-learning | —Unverified | 0 |
| Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity | Feb 28, 2022 | Offline RLQ-Learning | —Unverified | 0 |
| 2vec: Policy Representations with Successor Features | Jun 16, 2023 | Offline RL | —Unverified | 0 |
| Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning | Oct 9, 2023 | continuous-controlContinuous Control | —Unverified | 0 |
| Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone | Dec 9, 2024 | global-optimizationImitation Learning | —Unverified | 0 |
| Policy-Based Trajectory Clustering in Offline Reinforcement Learning | Jun 10, 2025 | ClusteringD4RL | —Unverified | 0 |
| Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning | Jun 9, 2021 | Offline RLOpen-Ended Question Answering | —Unverified | 0 |
| Policy Gradients Incorporating the Future | Aug 4, 2021 | Offline RLReinforcement Learning (RL) | —Unverified | 0 |
| Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation | Feb 4, 2025 | feature selectionOffline RL | —Unverified | 0 |
| Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning | Mar 10, 2025 | Imitation LearningOffline RL | —Unverified | 0 |
