something like state but that is already when it's doing representation looking at the dynamics and so when we look at the dynamics to representation learning why not learn a representation where the dynamics is such that control becomes easier for example learn a representation such that in this new representation space that an Amex is linear because if the dynamics is linear then all of a sudden control becomes easy and you turn your original pixel space problem might be highly nonlinear very complex to have a control methodology for into a