When reading pytorch tutorial:
Our aim will be to train a policy that tries to maximize the discounted, cumulative reward
Rt0=∑∞t=t0γt−t0rt
, whereRt0
is also known as the return
I know γ is the discount factor, but I am not sure that what t-t0
ofγt−t0
mean?
Thank you.