Reinforcement Learning, Machine Learning, Policy, Data Science, Artificial Intelligence.
equal probabilities from that state. The possible expected rewards it can receive are -14, -20, -20 and -14. Let us suppose that we had an option to modify the policy for that state. To maximize the expected reward, would not it be logical to always go next to either A3 or B4 from B3, i.e. in the