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Brian Zhang

Carnegie Mellon University

game theory

imperfect information

correlated equilibrium

1

presentations

SHORT BIO

I am a fifth-year PhD student in the Computer Science Department at Carnegie Mellon University, where I am fortunate to be advised by Tuomas Sandholm. Prior to CMU, I completed my undergraduate and master’s degrees at Stanford University, where I worked with Greg Valiant.

My current research interests lie in computational game theory, especially equilibrium finding in extensive-form games. I have also done work in adversarial robustness, fairness in machine learning, and quantum computing.

Presentations

On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria

Brian Zhang and 1 other author

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