| 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 (Oral), 2023 | 135 | 2023 |
| A Policy-Guided Imitation Approach for Offline Reinforcement Learning H Xu, L Jiang, J Li, X Zhan NeurIPS 2022 (Oral), 2022 | 100 | 2022 |
| 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 (Oral), 2025 | 81 | 2025 |
| 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 | 76 | 2024 |
| 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 | 51* | 2023 |
| 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, ... CVPR 2025, 22508-22519, 2025 | 46* | 2025 |
| 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 | 39 | 2023 |
| Offline Reinforcement Learning with Soft Behavior Regularization H Xu, X Zhan, J Li, H Yin NeurIPS 2021 Offline Reinforcement Learning Workshop, 2021 | 38 | 2021 |
| Query-Policy Misalignment in Preference-Based Reinforcement Learning X Hu*, J Li*, X Zhan, QS Jia, YQ Zhang ICLR 2024 (Spotlight), 2023 | 37 | 2023 |
| 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 | 28 | 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 (Outstanding Paper @ MFM-EAI Workshop), 2024 | 15 | 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 (Outstanding Paper @ MFM-EAI Workshop), 2024 | 14 | 2024 |
| X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model J Zheng*, J Li*, Z Wang, D Liu, X Kang, Y Feng, Y Zheng, J Zou, Y Chen, ... ICLR 2026 (1st @ Agibot World Challenge, IROS 2025), 2025 | 13 | 2025 |
| Skill Expansion and Composition in Parameter Space T Liu*, J Li*, Y Zheng, H Niu, Y Lan, X Xu, X Zhan ICLR 2025, 2025 | 13 | 2025 |
| 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 AAMAS 2026, 2024 | 6* | 2024 |
| Are Expressive Models Truly Necessary for Offline RL? G Wang, H Niu, J Li, L Jiang, HU Jianming, X Zhan AAAI 2025 (Oral), 2024 | 6 | 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 Data Science for Transportation, 2025 | 5 | 2025 |
| Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling T Tan, Y Zheng, R Liang, Z Wang, K Zheng, J Zheng, J Li, X Zhan, J Liu NeurIPS 2025, 2025 | 4 | 2025 |
| Reachability-aware reinforcement learning for collision avoidance in human-machine shared control S Zhao, J Zhang, N Masoud, J Li, Y Zheng, X Hou arXiv preprint arXiv:2502.10610, 2025 | 3 | 2025 |
| 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 | 3 | 2024 |
Xianyuan ZhanAssociate Professor, Institute for AI Industry Research (AIR), Tsinghua UniversityVerified email at air.tsinghua.edu.cn
