Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium
Gabriele Farina,
Chun Kai Ling,
Fei Fang
et al.
Abstract:Self-play methods based on regret minimization have become the state of the art for computing Nash equilibria in large two-players zero-sum extensive-form games. These methods fundamentally rely on the hierarchical structure of the players' sequential strategy spaces to construct a regret minimizer that recursively minimizes regret at each decision point in the game tree. In this paper, we introduce the first efficient regret minimization algorithm for computing extensive-form correlated equilibria in large tw… Show more
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