specific semantically meaningful variables like the position of an image another research Direction is connections to reinforcement learning recent papers have shown that generative address cell networks can be interpreted as an actor critic method or used for imitation learning or interpreted as inverse reinforcement learning finally if we're able to come up with a good algorithm for finding equilibria in games we can apply that algorithm to many other places besides generative adversarial networks things like robust