Anahtarcı, BerkayKarıksız, Can DehaSaldı, Naci2020-11-122020-11-122020-090167-6911http://hdl.handle.net/10679/7084https://doi.org/10.1016/j.sysconle.2020.104744In the literature, existence of mean-field equilibria has been established for discrete-time mean field games under both the discounted cost and the average cost optimality criteria. In this paper, we provide a value iteration algorithm to compute stationary mean-field equilibrium for both the discounted cost and the average cost criteria, whose existence proved previously. We establish that the value iteration algorithm converges to the fixed point of a mean-field equilibrium operator. Then, using this fixed point, we construct a stationary mean-field equilibrium. In our value iteration algorithm, we use Q-functions instead of value functions.engrestrictedAccessValue iteration algorithm for mean-field gamesarticle14300056466710000110.1016/j.sysconle.2020.104744Mean-field gamesValue iteration algorithmDiscounted costAverage cost2-s2.0-85088382162