Search
Now showing items 1-3 of 3
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 ...
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 ...
Learning mean-field games with discounted and average costs
(Microtome Publishing, 2023)
We consider learning approximate Nash equilibria for discrete-time mean-field games with stochastic nonlinear state dynamics subject to both average and discounted costs. To this end, we introduce a mean-field equilibrium ...
Share this page