waiting in action on the distant if we're setting where we make the latent space very efficient to find optimal policies and so might not succeed on the first time around so get the new data update the representation infer where we are in terms of linear dynamics models and trying to updated policy and repeat and this can actually learn in about 20 minutes to stack it like a block learning it from from pixels as input okay so we looked at state representation which is how to go from broth acceleration to state learning