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Learning in Mean Field Games: the Fictitious Play
Published 22 Jul 2015 in math.OC | (1507.06280v2)
Abstract: Mean Field Game systems describe equilibrium configurations in differential games with infinitely many infinitesimal interacting agents. We introduce a learning procedure (similar to the Fictitious Play) for these games and show its convergence when the Mean Field Game is potential.
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