Characterization and Computation of Normal-Form Proper Equilibria in Extensive-Form Games via the Sequence-Form Representation
Yuqing Hou, Yiyin Cao, Chuangyin Dang

TL;DR
This paper introduces a compact sequence-form approach and differentiable algorithms for computing normal-form proper equilibria in extensive-form games, overcoming exponential complexity issues.
Contribution
It redefines expected payoffs over sequences, proves their equivalence to normal-form proper equilibria, and develops path-following methods with entropy regularization for efficient computation.
Findings
Proposed a compact sequence-form representation for proper equilibria.
Developed two differentiable path-following algorithms based on entropy regularization.
Experimental results show the methods are effective and computationally efficient.
Abstract
Normal-form proper equilibrium, introduced by Myerson as a refinement of normal-form perfect equilibrium, occupies a distinctive position in the equilibrium analysis of extensive-form games because its more stringent perturbation structure entails the sequential rationality. However, the size of the normal-form representation grows exponentially with the number of parallel information sets, making the direct determination of normal-form proper equilibria intractable. To address this challenge, we develop a compact sequence-form proper equilibrium by redefining the expected payoffs over sequences, and we prove that it coincides with the normal-form proper equilibrium via strategic equivalence. To facilitate computation, we further introduce an alternative representation by defining a class of perturbed games based on an -permutahedron over sequences. Building on this…
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Taxonomy
TopicsGame Theory and Applications · Optimization and Variational Analysis · Climate Change Policy and Economics
