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Linear-Quadratic Mean Field Games with a Major Player: Nash Certainty Equivalence versus Master Equations

Friday, November 13, 2020 11:00to12:00
ZOOM, CA

Virtual Informal Systems Seminar (VISS)
Centre for Intelligent Machines (CIM) and Groupe d'Etudes et de Recherche en Analyse des Decisions (GERAD)

Speaker: Minyi Huang, Professor, School of Mathematics and Statistics, Carleton University

Abstract:

Mean field games with a major player were introduced in (Huang, 2010) within a linear-quadratic (LQ) modeling framework. Due to the rich structure of major-minor player models, the past ten years have seen significant research efforts for different solution notions and analytical techniques. For LQ models, we address the relation between three solution frameworks: the Nash certainty equivalence (NCE) approach in (Huang, 2010), master equations, and asymptotic solvability, which have been developed starting with different ideas. We establish their equivalence relationships.
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