that almost all the learning happens in self supervision and then a little bit of learning habitat the M of course to get the meaning of the labels but it just needed a linear classifier if that's the case then the hope is if we do something similar in reinforcement all we need to do is do something where we do representation learning that extracts the essence and I've gained a little bit of extra information the reward to do the rest of the learning so would it simply or do it essentially said I have an image I'm going to turn