A Sequence-Form Characterization and Differentiable Path-Following Method for Computing Normal-Form Perfect Equilibria in Extensive-Form Games
Yuqing Hou, Yiyin Cao, Chuangyin Dang, Yong Wang

TL;DR
This paper introduces a novel sequence-form characterization and a differentiable path-following method for computing normal-form perfect equilibria in n-player extensive-form games, extending previous two-player approaches.
Contribution
It develops a new sequence-form characterization for n-player games and proposes a differentiable path-following algorithm with convergence guarantees.
Findings
The method converges to a normal-form perfect equilibrium.
Numerical experiments show improved computational efficiency.
The approach extends existing techniques to multi-player settings.
Abstract
The sequence form, owing to its compact and holistic strategy representation, has demonstrated significant efficiency in computing normal-form perfect equilibria for two-player extensive-form games with perfect recall. Nevertheless, the examination of -player games remains underexplored. To tackle this challenge, we present a sequence-form characterization of normal-form perfect equilibria for -player extensive-form games, achieved through a class of perturbed games formulated in sequence form. Based on this characterization, we develop a differentiable path-following method for computing normal-form perfect equilibria and prove its convergence. This method formulates an artificial logarithmic-barrier game in sequence form, introducing an additional variable to regulate the impact of logarithmic-barrier terms on the payoff functions, as well as the transition of the strategy…
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Taxonomy
TopicsGame Theory and Applications · Artificial Intelligence in Games
