Bichler Lab

Technical University of Munich

Bayern (DE2) · Germany

ERC-funded
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ERC Advanced Grant · 2024

Equilibrium Learning, Uncertainty, and Dynamics: Novel Approaches for Analyzing Games and Automated Markets

Game theory is essential for studying central problems in economics and management such as auctions, contests, oligopoly, and platform competition. However, deriving equilibrium strategies in such games with incomplete information is notoriously challenging. For instance, analytical solutions are available only for simple auction models under restrictive assumptions. The lack of numerical methods for solving equilibrium problems impedes advancements in theory and practice. Building on insights from my recent research, ELUD develops online optimization and learning methods to solve equilibrium problems in single- and multi-stage Bayesian games that have previously been deemed intractable.…

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