Machine Learning.
𝛾. Discount [0,1] -> tells how much rewards I get to the future. Discount = 0 maximum short sight, look at the first rewards. Discount = 1 care about all rewards going into the future (far sighted) Why discounted? Mathematically convenient to discount rewards Avoids infinite returns in cyclic MP