Ph.D. University of Southern California, 2022M.S. National Taiwan University, 2015B.S. National Taiwan University, 2012


Research interests include:

Interactive Decision Making, Reinforcement Learning



Chen-Yu Wei is an Assistant Professor in the Computer Science department at the University of Virginia. Previously, he was a Postdoctoral Associate at Massachusetts Institute of Technology. He received a Ph.D. in Computer Science from University of Southern California, an M.S. degree in Communication Engineering from National Taiwan University, and a B.S. degree in Electrical Engineering from National Taiwan University. His research focuses on fundamental problems in interactive decision making and reinforcement learning. Specifically, he is interested in developing robust and adaptive algorithms that interact with potentially non-stationary or adversarial environments. Also, he is interested in understanding the sample and computational complexity involved in reinforcement learning problems, and devising efficient algorithms to tackle them.


  • Best Paper Award, Conference on Learning Theory (COLT) 2021
  • Best Paper Award, Conference on Algorithmic Learning Theory (ALT) 2022
  • Prize for Excellence in Research with a Substantial Mathematical Component, Center for Applied Mathematical Science (CAMS), University of Southern California 2022
  • Simons-Berkeley Research Fellowship, Simons Institute for the Theory of Computing 2022

Research Interests

  • Interactive Decision Making
  • Reinforcement Learning