A machine learning framework for solving high-dimensional mean field game and mean field control problems

Mean field games (MFG) and mean field control (MFC) are critical classes of multiagent models for the efficient analysis of massive populations of interacting agents. Their areas of application span topics in economics, finance, game theory, industrial engineering, crowd motion, and more. In this pa...

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Detaylı Bibliyografya
Yayımlandı:Proc Natl Acad Sci U S A
Asıl Yazarlar: Ruthotto, Lars, Osher, Stanley J., Li, Wuchen, Nurbekyan, Levon, Fung, Samy Wu
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: National Academy of Sciences 2020
Konular:
Physical Sciences
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7197015/
https://ncbi.nlm.nih.gov/pubmed/32273389
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1922204117
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