Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning

Kai Cui, Heinz Koeppl

The recent mean field game (MFG) formalism facilitates otherwise intractable computation of approximate Nash equilibria in many-agent settings. In this paper, we consider discrete-…