Jinning Li

Cited by

	All	Since 2019
Citations	179	178
h-index	5	5
i10-index	5	5

100

2019202020212022202320241 7 37 99 34

Co-authors

Masayoshi TomizukaMechaniccal Engineering, University of CaliforniaVerified email at me.berkeley.edu
Wei ZhanCo-Director, Berkeley DeepDrive; Assistant Professional Researcher, UC BerkeleyVerified email at berkeley.edu
Chen TangPostdoctoral Fellow in Computer Science, UT AustinVerified email at austin.utexas.edu
Liting SunWaymo, Research ScientistVerified email at berkeley.edu
Jiachen LiAssistant Professor, University of CaliforniaVerified email at ucr.edu
Jiantao JiaoAssistant Professor of EECS and Statistics, University of California, BerkeleyVerified email at berkeley.edu
Banghua ZhuUniversity of California, BerkeleyVerified email at berkeley.edu
Jianyu ChenTsinghua UniversityVerified email at tsinghua.edu.cn

Jinning Li

PhD Candidate, University of California, Berkeley

Verified email at berkeley.edu - Homepage

Machine Learning Reinforcement Learning Robotics Autonomous Driving Planning


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Spatio-temporal graph dual-attention network for multi-agent prediction and tracking J Li, H Ma, Z Zhang, J Li, M Tomizuka IEEE Transactions on Intelligent Transportation Systems 23 (8), 10556-10569, 2021	72	2021
Hierarchical planning through goal-conditioned offline reinforcement learning J Li, C Tang, M Tomizuka, W Zhan IEEE Robotics and Automation Letters 7 (4), 10216-10223, 2022	37	2022
A safe hierarchical planning framework for complex driving scenarios based on reinforcement learning J Li, L Sun, J Chen, M Tomizuka, W Zhan 2021 IEEE International Conference on Robotics and Automation (ICRA), 2660-2666, 2021	33	2021
Dealing with the unknown: Pessimistic offline reinforcement learning J Li, C Tang, M Tomizuka, W Zhan Conference on Robot Learning, 1455-1464, 2022	14	2022
Interaction-aware behavior planning for autonomous vehicles validated with real traffic data J Li, L Sun, W Zhan, M Tomizuka Dynamic Systems and Control Conference 84287, V002T31A005, 2020	14	2020
A novel integrated SVM for fault diagnosis using KPCA and GA LI Jinning Journal of Physics: Conference Series 1207 (1), 012002, 2019	5	2019
Guided online distillation: Promoting safe reinforcement learning by offline demonstration J Li, X Liu, B Zhu, J Jiao, M Tomizuka, C Tang, W Zhan arXiv preprint arXiv:2309.09408, 2023	4	2023
Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization Y Chen, C Tang, R Tian, C Li, J Li, M Tomizuka, W Zhan arXiv preprint arXiv:2310.07218, 2023		2023

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