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Average complexity of the Best Response Algorithm in Potential Games

Stéphane Durand 1, 2 Bruno Gaujal 2
1 NECS - Networked Controlled Systems
GIPSA-DA - Département Automatique, Inria Grenoble - Rhône-Alpes
2 POLARIS - Performance analysis and optimization of LARge Infrastructures and Systems
LIG - Laboratoire d'Informatique de Grenoble, Inria Grenoble - Rhône-Alpes
Abstract : Computation of the expected number of steps and the expected number of move by the Best Response Algorithm in random potential game
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Submitted on : Tuesday, November 15, 2016 - 10:59:07 AM
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  • HAL Id : hal-01396906, version 1

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CNRS | LIG_SRCPR | INRIA | LIG | UGA | LIG-SRCPR-POLARIS | GIPSA-NECS | GIPSA | GIPSA-DA | PERSYVAL-LAB

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Stéphane Durand, Bruno Gaujal. Average complexity of the Best Response Algorithm in Potential Games . Atelier Evalution de Performance 2016, Mar 2016, Toulouse, France. ⟨hal-01396906⟩

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