An Epsilon Nash Equilibrium For Non-Linear Markov Games of Mean-Field-Type on Finite Spaces.

Abstract

We investigate mean field games for players, who are weakly coupled via their empirical measure. To this end we investigate time-dependent pure jump type propagators over a finite space in the framework of non-linear Markov processes. We show that the individual optimal strategy results from a consistent coupling of an optimal control problem with a forward non-autonomous dynamics which leads to the well-known Mckean-Vlasov dynamics in the limit as the number N of players goes to infinity. The case where one player has an individual preference different to the ones of the remaining players is also covered. The limiting system represents a 1/N-Nash Equilibrium for the approximating system of N players.

Publication
Communications on Stochastic Analysis
Rani Basna
Rani Basna
Researcher | Data Scientist | Mathematician

My research interests include Machine learning, mathematical statistics, Mean field game theory, functional data analysis.

Related