On Mean-Field Games
Levon Nurbekyan (Department of Mathematics, UCLA)
Abstract: Mean-field games (MFG) is a framework for modeling and analysis of vast populations of agents that play differential games. It is an actively growing field with numerous applications in economics, finance, industrial engineering, crowd motion, swarm control, and recently machine learning and data science. In this talk, I will discuss several computational, applied, and theoretical aspects of MFG. In particular, I will focus on nonlocal models, applications in machine learning, and MFG PDE.
Mathematics
Audience: general audience
Yerevan Mathematical Colloquium
Series comments: "Yerevan Mathematical Colloquium" invites survey talks aimed at a general mathematical audience, that emphasize proof methods, relations between branches of mathematics, possible applications, and open problems.
Organizer: | Armen Vagharshakyan* |
*contact for this listing |