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Value iteration algorithm for mean-field games
(Elsevier, 2020-09)
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 criteria. In this paper, we provide a value ...
Learning in discrete-time average-cost mean-field games
(IEEE, 2021)
In this paper, we consider learning of discrete-time mean-field games under an average cost criterion. We propose a Q-iteration algorithm via Banach Fixed Point Theorem to compute the mean-field equilibrium when the model ...
Q-learning in regularized mean-field games
(Springer, 2023-03)
In this paper, we introduce a regularized mean-field game and study learning of this game under an infinite-horizon discounted reward function. Regularization is introduced by adding a strongly concave regularization ...
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