| Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization H Xu, L Jiang, J Li, Z Yang, Z Wang, VWK Chan, X Zhan ICLR 2023, 2023 | 82 | 2023 |
| A Policy-Guided Imitation Approach for Offline Reinforcement Learning H Xu, L Jiang, J Li, X Zhan NeurIPS 2022, 2022 | 68 | 2022 |
| When data geometry meets deep function: Generalizing offline reinforcement learning J Li, X Zhan, H Xu, X Zhu, J Liu, YQ Zhang ICLR 2023, 2023 | 38* | 2023 |
| Offline Reinforcement Learning with Soft Behavior Regularization H Xu, X Zhan, J Li, H Yin NeurIPS 2021 Offline Reinforcement Learning Workshop, 2021 | 31 | 2021 |
| Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model Y Zheng*, J Li*, D Yu, Y Yang, SE Li, X Zhan, J Liu ICLR 2024, 2024 | 27 | 2024 |
| Mind the Gap: Offline Policy Optimization for Imperfect Rewards J Li*, X Hu*, H Xu, J Liu, X Zhan, QS Jia, YQ Zhang ICLR 2023, 2023 | 24 | 2023 |
| Proto: Iterative policy regularized offline-to-online reinforcement learning J Li, X Hu, H Xu, J Liu, X Zhan, YQ Zhang arXiv preprint arXiv:2305.15669, 2023 | 18 | 2023 |
| Query-Policy Misalignment in Preference-Based Reinforcement Learning X Hu*, J Li*, X Zhan, QS Jia, YQ Zhang ICLR 2024, 2023 | 16 | 2023 |
| DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning J Li*, J Zheng*, Y Zheng*, L Mao, X Hu, S Cheng, H Niu, J Liu, Y Liu, J Liu, ... ICML 2024, 2024 | 4 | 2024 |
| A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning J Li, S Lin, T Shi, C Tian, Y Mei, J Song, X Zhan, R Li arXiv preprint arXiv:2311.15920, 2023 | 3 | 2023 |
| Robo-MUTUAL: Robotic Multimodal Task Specification via Unimodal Learning J Li*, Z Wang*, J Zheng*, X Zhou, G Wang, G Song, Y Liu, J Liu, ... ICRA 2025, 2024 | 1 | 2024 |
| xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory Editing H Niu, Q Chen, T Liu, J Li, G Zhou, Y Zhang, J Hu, X Zhan NeurIPS 2024 OWA Workshop, 2024 | 1 | 2024 |
| Instruction-Guided Visual Masking J Zheng*, J Li*, S Cheng, Y Zheng, J Li, J Liu, Y Liu, J Liu, X Zhan NeurIPS 2024, 2024 | 1 | 2024 |
| Diffusion-Based Planning for Autonomous Driving with Flexible Guidance Y Zheng, R Liang, K Zheng, J Zheng, L Mao, J Li, W Gu, R Ai, SE Li, ... ICLR 2025, 2025 | | 2025 |
| Universal Actions for Enhanced Embodied Foundation Models J Zheng, J Li, D Liu, Y Zheng, Z Wang, Z Ou, Y Liu, J Liu, YQ Zhang, ... arXiv preprint arXiv:2501.10105, 2025 | | 2025 |
| Are Expressive Models Truly Necessary for Offline RL? G Wang, H Niu, J Li, L Jiang, HU Jianming, X Zhan AAAI 2025, 2024 | | 2024 |
| Vehicle Extreme Control based on Offline Reinforcement Leaning S Zhao, J Li, X Hu, J Zhang, C He CAC 2022, 2022 | | 2022 |
Xianyuan ZhanAssociate Professor, Institute for AI Industry Research (AIR), Tsinghua UniversityVerified email at air.tsinghua.edu.cn