Zeyu Jia
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Zeyu Jia (贾泽宇) |
About Me
I am a PhD candidate at Department of EECS at MIT. I am extremely fortunate to be advised by Yury Polyanskiy and Alexander Rakhlin. I am also a member of Laboratory for Information and Decision System (LIDS) at MIT. Prior to that, I did my undergraduate at Peking University, School of Mathematical Science, advised by Zaiwen Wen.
My research interests include machine learning theory especially reinforcement learning theory, optimization and information theory.
News
(2024.05) Our paper Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data is accepted by COLT 2024
(2023.09) Our paper When is Agnostic Reinforcement Learning Statistically Tractable? is accepted by NeurIPS 2023
(2023.04) Our paper Entropic characterization of optimal rates for learning Gaussian mixtures is accepted by COLT 2023