Reinforcement Learning, Markov Decision Process, Deep Learning, Machine Learning, Artificial Intelligence.
above figure. This state transitions only to itself and generates only rewards of zero. So after R1, R2 and R3 states, we can conveniently assume R4, R5, R6 …… and so on, without really affecting the total return, as these newly assumed returns are all zeros. So now the total return