Information Design in Multi-Agent Reinforcement Learning - Baoxiang Wang

Speaker Bio: Baoxiang Wang is an assistant professor at The Chinese University of Hong Kong, Shenzhen. He's currently visiting the University of Waterloo for the summer of 2023. Baoxiang works on reinforcement learning, multi-agent learning, and learning theory. He obtained his Ph.D. in Computer Science and Engineering from The Chinese University of Hong Kong in 2020, fortunate to be advised by Siu On Chan and Andrej Bogdanov. Before that, He obtained B.E. in Information Security from Shanghai Jiao Tong University in 2014.

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