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A Bridge between Polynomial Optimization and Games with Imperfect Recall

Authors :
Gimbert, Hugo
Paul, Soumyajit
Srivathsan, B.
Publication Year :
2020

Abstract

We provide several positive and negative complexity results for solving games with imperfect recall. Using a one-to-one correspondence between these games on one side and multivariate polynomials on the other side, we show that solving games with imperfect recall is as hard as solving certain problems of the first order theory of reals. We establish square root sum hardness even for the specific class of A-loss games. On the positive side, we find restrictions on games and strategies motivated by Bridge bidding that give polynomial-time complexity.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2002.09941
Document Type :
Working Paper