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Robust mean field gamesAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Alessandro Astolfi. Within the realm of mean field games under uncertainty, we study a population of players with individual states driven by a standard Brownian motion and a disturbance term. The contribution is three-fold. First, we establish a mean field system for such robust games. Second, we analyze robust mean field equilibria. Third, we show that the dimension of the mean field system can be significantly reduced by considering a functional of the first moment of the mean field process. Applications to production, opinion dynamics and cyber-physical systems will be discussed. This talk is part of the Control and Power Seminars series. This talk is included in these lists:
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