Machine Learning.
maximise the cumulative sum of the reward. Return: Gt is the total discounted reward from the time-step t. Gt =Rt+1+γRt+2+…=􏰇γkRt+k+1 No expectation? → Because we are talking about random sample. G is just one sample. The way we control this reward and make it finite is by using the discount factor