Reinforcement Learning, Markov Decision Process, Markov Chains, Deep Learning, Artificial Intelligence.
giving the decision maker a corresponding reward R( s , s ′ ) There are various things to understand MDP is a discrete process. That means the events are going to occur at discrete time steps like t1, t2, t3, t4, t5……. and so on. The outcomes are partly random. They are not fully under the control