the office of the paper is called a pixel control reward function and so what they do is they turn what the agency's first-person vision of the maze into a courser this gives grayscale and a representation of what it's seeing and you get rewarded in this auxilary reward task for how much you're able to change the discourse pixel value so what does that mean if your agent turns into a direction where things are much brighter than the direction they're facing right now then the pixel values will change a lot and that would be a high reward