Manxi Wu

About

Manxi Wu is an Assistant Professor at the University of California, Berkeley. His research areas include game theory, learning dynamics, and information theory, as reflected in his recent articles on belief-strategy learning dynamics, decentralized learning, and Bayesian routing games. He focuses on advancing the understanding of stability and convergence in various game-theoretic contexts.