25 citations · 71 across the 36 of their papers we have counts for
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Learning in Discounted-cost and Average-cost Mean-field Games
Berkay Anahtarcı, Can Deha Karıksız, Naci Saldi
We consider learning approximate Nash equilibria for discrete-time mean-field games with nonlinear stochastic state dynamics subject to both average and discounted costs. To this e…
Value Iteration Algorithm for Mean-field Games
Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi
In 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 criteri…
Discrete-time average-cost mean-field games on Polish spaces
Naci Saldi
In stochastic dynamic games, when the number of players is sufficiently large and the interactions between agents depend on empirical state distribution, one way to approximate the…
Non-signaling Approximations of Stochastic Team Problems
Naci Saldi, Can Deha Karıksız, Maxim Raginsky +1
In this paper, we consider non-signaling approximation of finite stochastic teams. We first introduce a hierarchy of team decision rules that can be classified in an increasing ord…