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Control of McKean-Vlasov Dynamics (Mean Field Control) and the Price of Anarchy


Mar 27, 2018 - 10:00am to 11:00am


Rettaliata Engineering Center, Room 124


René Carmona
Department of Operations Research and Financial Engineering, Princeton University


We posit a new form of the optimal control of stochastic differential equations of McKean-Vlasov type (often called Mean Field Control), and we derive the corresponding Pontryagin maximum principle. This requires calculus over the Wasserstein space of probability measures. We contrast the resulting optima with the Nash equilibria of the associated Mean Field Games (MFGs), and we investigate the price of anarchy by comparing the results of centralized optimization to those of decentralized optimization of MFGs.

Event Type: 

Department of Applied Mathematics - Seminar