okay so in the classic rl especially this is a policy gradient method right now so i use my policy my weights to get the reward and then i would calculate a gradient and you know usually the reward isn't differentiable so you have this uh reinforced trick in order to pull the reward out and you you can read all of this up if you look at policy gradient uh the basic policy gradient methods but this here tells me i need a gradient usually this is going to be the reward times the gradient of my fw of my input so