Han Zhong

Cited by

	All	Since 2018
Citations	69	69
h-index	4	4
i10-index	3	3

20202021202220231 2 43 22

Public access

View all

1 article

0 articles

available

not available

Based on funding mandates

Co-authors

Liwei WangProfessor, Peking UniversityVerified email at cis.pku.edu.cn
Zhuoran YangYale UniversityVerified email at yale.edu
Wei XiongThe Hong Kong University of Science and TechnologyVerified email at connect.ust.hk
Tong ZhangHKUSTVerified email at tongzhang-ml.org
Zhaoran WangAssistant Professor at Northwestern UniversityVerified email at northwestern.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Yunchang YangPeking UniversityVerified email at pku.edu.cn
Tianhao WuUniversity of California, BerkeleyVerified email at berkeley.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Chengshuai ShiElectrical and Computer Engineering, University of VirginiaVerified email at virginia.edu
Cong ShenUniversity of VirginiaVerified email at virginia.edu
Matteo PirottaResearch Scientist, Meta (FAIR)Verified email at fb.com
Alessandro LazaricResearch Scientist, Facebook Artificial Intelligence ResearchVerified email at inria.fr
Evrard GarcelonFacebook AI ResearchVerified email at fb.com
Csaba SzepesvariDeepMind & University of AlbertaVerified email at cs.ualberta.ca
Jiantao JiaoAssistant Professor of EECS and Statistics, University of California, BerkeleyVerified email at berkeley.edu
Ethan X. FangAssociate Professor at Duke UniversityVerified email at duke.edu
Jikai JinSchool of Mathematical Sciences, Peking UniversityVerified email at pku.edu.cn
John HopcroftCornell UniversityVerified email at cs.cornell.edu
Binghui LiSchool of EECS, Peking UniversityVerified email at pku.edu.cn

Han Zhong

Peking University

Verified email at stu.pku.edu.cn - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopically Rational Followers? H Zhong, Z Yang, Z Wang, MI Jordan Journal of Machine Learning Research 24 (35), 1-52, 2023	17*	2023
Pessimistic minimax value iteration: Provably efficient equilibrium learning from offline datasets H Zhong, W Xiong, J Tan, L Wang, T Zhang, Z Wang, Z Yang International Conference on Machine Learning, 27117-27142, 2022	14	2022
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game W Xiong, H Zhong, C Shi, C Shen, L Wang, T Zhang arXiv preprint arXiv:2205.15512, 2022	10	2022
Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs H Zhong, Z Yang, Z Wang, C Szepesvári arXiv preprint arXiv:2110.08984, 2021	7	2021
A posterior sampling framework for interactive decision making H Zhong, W Xiong, S Zheng, L Wang, Z Wang, Z Yang, T Zhang arXiv preprint arXiv:2211.01962, 2022	4	2022
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games W Xiong, H Zhong, C Shi, C Shen, T Zhang International Conference on Machine Learning, 24496-24523, 2022	4	2022
Why robust generalization in deep learning is difficult: Perspective of expressive power B Li, J Jin, H Zhong, J Hopcroft, L Wang Advances in Neural Information Processing Systems 35, 4370-4384, 2022	3	2022
Nearly optimal policy optimization with stable at any time guarantee T Wu, Y Yang, H Zhong, L Wang, S Du, J Jiao International Conference on Machine Learning, 24243-24265, 2022	3	2022
A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning Y Yang, T Wu, H Zhong, E Garcelon, M Pirotta, A Lazaric, L Wang, SS Du International Conference on Learning Representations, 2021/9/29, 2021	3*	2021
Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy H Zhong, EX Fang, Z Yang, Z Wang arXiv preprint arXiv:2012.14098, 2020	3	2020
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation X Chen, H Zhong, Z Yang, Z Wang, L Wang International Conference on Machine Learning, 3773-3793, 2022	1	2022
Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret H Zhong, J Hu, Y Xue, T Li, L Wang arXiv preprint arXiv:2302.10796, 2023		2023
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback Y Yang, H Zhong, T Wu, B Liu, L Wang, SS Du arXiv preprint arXiv:2302.01477, 2023		2023
Provable Sim-to-real Transfer in Continuous Domain with Partial Observations J Hu, H Zhong, C Jin, L Wang arXiv preprint arXiv:2210.15598, 2022		2022
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs H Zhong, J Huang, L Yang, L Wang Advances in Neural Information Processing Systems 34, 2021		2021

The system can't perform the operation now. Try again later.

Articles 1–15

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors