you're trying to learn given the input observation what output action you need to do and you can think of the same here so you have this input observation up here and down here after the reinforcement learning the output is going to be an action right and so this this function we talked about up here is usually implemented sorry is usually implement as you put the observation into the r.l framework and then the RL framework learns this f of theta function to give you an action now here you can see the pipeline is a bit different we don't