Scaling up Mean Field Games with Online Mirror Descent

https://arxiv.org/abs/2103.00623

Online mirror descent converges to MFG Nash equilibrium under monotonicity; faster than fictitious play; solves MFGs with hundreds of billions of states.

Mean field games and mean-field learning