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On the Graphon Mean Field Game Equations: Individual Agent Affine Dynamics and Mean Field Dependent Performance Functions

Autor: Caines, Peter E., HO, Daniel W. C., Huang, Minyi, Jian, Jiamin, Song, Qingshuo

This paper establishes unique solvability of a class of Graphon Mean Field Game equations. The special case of a constant graphon yields the result for the Mean Field Game equations.
Comment: 26 pages

Externí odkaz: http://arxiv.org/abs/2009.12144

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On the Graphon Mean Field Game Equations: Individual Agent Affine Dynamics and Mean Field Dependent Performance Functions

Autor: Peter E. Caines, Daniel Ho, Minyi Huang, Jiamin Jian, Qingshuo Song

This paper establishes unique solvability of a class of Graphon Mean Field Game equations. The special case of a constant graphon yields the result for the Mean Field Game equations.
26 pages

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::999eb5c69410161b9b56b79ffd401693
http://arxiv.org/abs/2009.12144

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Akademický článek

On the Graphon Mean Field Game equations: Individual agent affine dynamics and mean field dependent performance functions.

Autor: Caines, Peter E.¹ (AUTHOR), Ho, Daniel² (AUTHOR), Huang, Minyi³ (AUTHOR), Jian, Jiamin⁴ (AUTHOR), Song, Qingshuo¹ (AUTHOR) qsong@wpi.edu

Publikováno v: ESAIM: Control, Optimisation & Calculus of Variations. 2022, Vol. 28, p1-24. 24p.

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