function of state and so you can see that it more and more it simply goes back to basically q learning again the only difference here is that you have this intermediate features but i think you can simply view this let's say as a hidden layer in a neural network i get it some are held constant across sums and so on but you know i i like the method in terms of um you know in terms of the analysis so if you are given all this stuff it seems pretty cool that you can derive new policies uh it's implication for lifelong