ways that we could imagine using generative models once we have perfected them one is that we could use the generative model to simulate possible futures for reinforcement learning there are at least two different ways that you could use this one is you could train your agent in a simulated environment that's built entirely by the generative model rather than needing to build an environment by hand the advantage of using this simulated environment over the real world is that it could be more easily realized across many machines and