A mean-field-type game is a game in which the instantaneous payoffs and/or the state dynamics functions involve not only the state and the action profile but also the joint distribution of state-action pairs. In this talk we present the key foundations of mean-field-type game theory including (global) Bellman systems and master adjoint systems (MASS). Applications to distributed power networks and to coronavirus disease 2019 spread will be discussed.
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