Average complexity of the Best Response Algorithm in Potential Games

Stéphane Durand 1, 2 Bruno Gaujal 2
1 NECS - Networked Controlled Systems
Inria Grenoble - Rhône-Alpes, GIPSA-DA - Département Automatique
2 POLARIS - Performance analysis and optimization of LARge Infrastructures and Systems
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : The best response algorithm is often used in game theory to find Nash equilibria, its worst case complexity is known.This article show the exact complexity of the best response algorithm in random potential games.
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Stéphane Durand, Bruno Gaujal. Average complexity of the Best Response Algorithm in Potential Games. 17ème conférence dela Société française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2016), Feb 2016, Compiegne, France. ⟨hal-01396902⟩

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