Title: Learning in anonymous nonatomic games with applications to first-order mean field games,
Abstract: We introduce a model of anonymous games with the player dependent action
sets. We propose several learning procedures based on the well-known Fictitious
Play and Online Mirror Descent and prove their convergence to equilibrium under
the classical monotonicity condition. Typical examples are first-order mean
field games.