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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2021 . Peer-reviewed
License: Springer TDM
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Introduction to Mean Field Games and Mean-Field-Type Games

Authors: Reginald A. Banez; Lixin Li; Chungang Yang; Zhu Han;

Introduction to Mean Field Games and Mean-Field-Type Games

Abstract

The calculation of the solution or Nash equilibrium of a differential game with N players involves solving N coupled HJB equations simultaneously. It becomes more complicated as N becomes larger due to increased interactions and coupling among the players. Consequently, mean field game (MFG) has been proposed by Lasry and Lions to reformulate a differential game problem. In an MFG, the aggregate effect of all the players is considered rather than the individual effect of each player. MFGs have been applied in many applications in economics and engineering in which the number of players is large and when the players are indistinguishable yet can have heterogeneous states.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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