Xiaoyu Chen

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Liwei WangProfessor, Peking UniversityEmail verificata su cis.pku.edu.cn
Jiachen HuPeking UniversityEmail verificata su pku.edu.cn
Yuanhao WangPrinceton UniversityEmail verificata su princeton.edu
Chi JinAssistant Professor, Princeton UniversityEmail verificata su princeton.edu
Kefan DongStanford UniversityEmail verificata su stanford.edu
Zhaoran WangAssistant Professor at Northwestern UniversityEmail verificata su northwestern.edu
Han ZhongPeking UniversityEmail verificata su stu.pku.edu.cn
Lihong Li (李力鸿)AmazonEmail verificata su amazon.com
Lin F. Yang (杨林)Assistant Professor, Department of Electrical and Computer Engineering @ UCLAEmail verificata su ee.ucla.edu
Kai ZhengPeking UniversityEmail verificata su pku.edu.cn
Yunchang YangPeking UniversityEmail verificata su pku.edu.cn
Haotian YeComputer Science Ph.D. at Stanford UniversityEmail verificata su stanford.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonEmail verificata su cs.washington.edu
Wei Chen （陈卫）Microsoft ResearchEmail verificata su microsoft.com
Zhuoran YangYale UniversityEmail verificata su yale.edu

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Xiaoyu Chen

Peking University

Email verificata su pku.edu.cn - Home page

Machine Learning Bandit Reinforcement Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Q-learning with ucb exploration is sample efficient for infinite-horizon mdp K Dong, Y Wang, X Chen, L Wang International Conference on Learning Representations, 2020	112	2020
Distributed bandit learning: Near-optimal regret with efficient communication Y Wang, J Hu, X Chen, L Wang International Conference on Learning Representations, 2020	86	2020
Understanding Domain Randomization for Sim-to-real Transfer X Chen, J Hu, C Jin, L Li, L Wang International Conference on Learning Representations, 2022	57	2022
Near-Optimal Representation Learning for Linear Bandits and Linear RL J Hu, X Chen, C Jin, L Li, L Wang International Conference on Machine Learning, 4349-4358, 2021	44	2021
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	31	2022
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL X Chen, J Hu, L Li, L Wang International Conference on Learning Representations, 2021	21	2021
Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver X Chen, J Hu, LF Yang, L Wang International Conference on Learning Representations, 2022	17	2022
(Locally) Differentially Private Combinatorial Semi-Bandits X Chen, K Zheng, Z Zhou, Y Yang, W Chen, L Wang International Conference on Machine Learning, 1757-1767, 2020	3	2020
On the power of pre-training for generalization in rl: Provable benefits and hardness H Ye, X Chen, L Wang, SS Du International Conference on Machine Learning, 39770-39800, 2023	1	2023

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