simultaneously trying to minimize their own cost we might never actually approach the equilibrium of the game in particular one of the worst forms of non convergence that we see with generative adversarial networks is what we call mode collapse or if you're in on a little joke in our first paper we also caught the Helvetica scenario sometimes the basic idea of the hind mode collapse is that when we use the minimax formulation of the game we'd really like to see is minimization over G in the outer loop and maximization