Computational methods for mean-field games, Part 2

Levon Nurbekyan
University of California, Los Angeles (UCLA)
Mathematics and Statistics

I will give an overview of computational methods for mean-field game (MFG) systems. In particular, I will discuss finite-difference, convex optimization, Lagrangian, and more recent machine-learning techniques for solving these problems.

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