facing your car and then understand how to steer it to go down the road as quickly as possible procedure that followed is that click 10,000 robots from a random policy and the trendler view to encode frames into Z space just thirty two dimensional z space so low dimensional compared to the pixel open space then they train a ironing model to predict next lengthen state from previous latent state action and there's this additional hit late instead inside the Arnim then they use evolution but it's just one of many possible RL