This paper analyzes the optimization landscape for GANs, and show that the landscape for vanilla GANs can have many bad local optima that correspond to mode collapse problems. On the other hand this can be solved using ideas similar to RS-GAN. Overall this is a solid theoretical contribution to the optimization of GANs.