Jianxiong Li

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Xianyuan ZhanAssistant Professor, Institute for AI Industry Research (AIR), Tsinghua UniversityVerified email at air.tsinghua.edu.cn
Haoran XuUT AustinVerified email at utexas.edu
YA-QIN ZHANGTsinghua Univ，Microsoft, Baidu, SarnoffVerified email at tsinghua.edu.cn
Li JiangMcGill UniversityVerified email at mail.mcgill.ca
Xiao HuTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Xiangyu ZhuInstitute for AI Industry Research, Tsinghua UniversityVerified email at air.tsinghua.edu.cn
Yinan ZhengTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Shiyue ZhaoTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Haoyi NiuDepartment of Automation, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Sijie Cheng (程思婕)Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Shengbo Eben Li（李升波）Professor at Tsinghua UniversityVerified email at tsinghua.edu.cn

Jianxiong Li

Tsinghua University

Verified email at mails.tsinghua.edu.cn - Homepage

Reinforcement Learning Robotics Autonomous Driving


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	41	2023
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	26*	2023
A Policy-Guided Imitation Approach for Offline Reinforcement Learning H Xu, L Jiang, J Li, X Zhan NeurIPS 2022, 2022	26	2022
Offline Reinforcement Learning with Soft Behavior Regularization H Xu, X Zhan, J Li, H Yin NeurIPS 2021 Offline Reinforcement Learning Workshop, 2021	24	2021
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	15	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	8	2023
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	3	2024
Query-Policy Misalignment in Preference-Based Reinforcement Learning X Hu, J Li, X Zhan, QS Jia, YQ Zhang ICLR 2024, 2023	3	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		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		2023
Vehicle Extreme Control based on Offline Reinforcement Leaning S Zhao, J Li, X Hu, J Zhang, C He CAC 2022, 4539-4543, 2022		2022

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