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Yuejie Chi

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Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization

May 31, 2021
Shicong Cen, Yuting Wei, Yuejie Chi

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Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence

May 24, 2021
Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi

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Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting

May 17, 2021
Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei

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Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements

Apr 29, 2021
Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin Tripp, Yuejie Chi

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Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis

Mar 16, 2021
Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi

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NCH Sleep DataBank: A Large Collection of Real-world Pediatric Sleep Studies

Feb 26, 2021
Harlin Lee, Boyue Li, Shelly DeForte, Mark Splaingard, Yungui Huang, Yuejie Chi, Simon Lin

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Softmax Policy Gradient Methods Can Take Exponential Time to Converge

Feb 22, 2021
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen

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Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning

Feb 12, 2021
Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi

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Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing

Jan 13, 2021
Cong Ma, Yuanxin Li, Yuejie Chi

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Spectral Methods for Data Science: A Statistical Perspective

Dec 15, 2020
Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma

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