A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems

4 Dec 2019Lars RuthottoStanley OsherWuchen LiLevon NurbekyanSamy Wu Fung

Mean field games (MFG) and mean field control (MFC) are critical classes of multi-agent models for 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... (read more)

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