Carnegie Mellon University, Advisor: Yuejie Chi
Shicong Cen is a fourth year Ph.D. candidate in the Department of Electrical and Computer Engineering of Carnegie Mellon University, advised by Prof. Yuejie Chi.
Shicong's research focuses on efficient learning for reinforcement learning and game theory, by developing in-depth theoretical understanding of policy optimization methods, so as to turn heuristics into rigorous principles and inspire the design of new algorithms that achieve provably fast convergence.
Shicong obtained his bachelor's degree in Information and Computing Science from School of Mathematical Sciences, Peking University in 2019.
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