Reinforcement Learning, Machine Learning, Policy, Data Science, Artificial Intelligence.
rewards received by the agent. We will also assume that the same action chosen by the agent in the state A (represented by the horizontal arrow with probability p = 0.6) leads to either C or D with different probabilities (p = 0.8 and p = 0.2). Transition diagram for the example. Numbers in blue