Can Deha Karıksız

Learning in Discounted-cost and Average-cost Mean-field Games

2019 · arXiv (Cornell University)

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 end, we introduce a mean-field equilibrium (MFE) operator, whose fixed point …