like bad conditioning high variance in the gradient and so on but for the most part you're pretty much going to go down a hill until eventually you stop somewhere unless your hyper parameters are really bad and you don't usually need to worry that your optimization algorithm will fail to even converge in the case of looking for an equilibrium to a game it is actually pretty difficult to guarantee that you will eventually converge to a specific equilibrium point or even that you will stop in some particular location that