Feb. 13, 2024, 5:44 a.m. | Qiwen Cui Maryam Fazel Simon S. Du

cs.LG updates on arXiv.org arxiv.org

We study how to learn the optimal tax design to maximize the efficiency in nonatomic congestion games. It is known that self-interested behavior among the players can damage the system's efficiency. Tax mechanisms is a common method to alleviate this issue and induce socially optimal behavior. In this work, we take the initial step for learning the optimal tax that can minimize the social cost with \emph{equilibrium feedback}, i.e., the tax designer can only observe the equilibrium state under the …

behavior congestion cs.ai cs.gt cs.lg cs.ma design efficiency games how to learn issue learn study tax work

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

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