Visible to the public Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum


Junlin Wu is a third-year Computer Science Ph.D. student at Washington University in St. Louis. She received her M.S. in Mathematical Finance from Boston University and her B.S. in Mathematics from the University of Science and Technology of China, School of the Gifted Young. Her research has been focusing on adversarial AI, trustworthy reinforcement learning and control, with work published on ICML, IJCAI and GameSec.

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