that representation we could learn to control with just a 32 dimensional input rather than needing to take in 240 by 240 input which is much higher dimensional and much more expensive to do reinforced fighting against there's actually capable of learning a pretty wide range of skills here so here is the data collection so it's just randomly moving around collecting data that data is used to train that spatial auto encoder and sir then we learn we look actually we imprinted the goal situation and then we do reinforce