Mean Field Games with Ergodic cost for Discrete Time Markov Processes
arXiv:1510.08968
Abstract
We consider mean field games with ergodic cost in the framework of a general discrete time controlled Markov processes. The state space of the processes is given by a general -compact Polish space. Under certain conditions, we show the existence of a mean field game equilibrium. We also study the -person game where the players interacts with each other via their empirical measure. We show that the -person game has Nash equilibrium and as tends to infinity the equilibria converge to a mean field game solution.
30 pages. Comments are most welcome
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- Binary Mean Field Stochastic Games: Stationary Equilibria and Comparative Statics
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