100 by 100 image that's 10,000 pixels that's a very high dimensional input then they say well that's kinda Michelin we want our agent to work on something lower dimensional because we know under the hood there is a state of the world and the state of dog might be summarized wearing just a small set of numbers maybe 10 20 30 numbers is enough so my agent shouldn't have to operate shouldn't do reinforcement on those 10,000 number input should be doing reinforced learning on dusty 30 number input and might be able to learn a lot