[RosanaAnaDana]

You also might be able to get a 'compression' sample of space in the same manner, by running an auto-encoder in training mode. Rather than trying to do some kind of hack directly, it collects the same data you mentioned, but rather, is just training on the data in an auto-encoding compression framework. Then it can 'hand off' the compressed models weights, which hypothetically, can be queried or used to simulate the environment. Obviously, there is a lot more to this, but its an interesting idea.