Reinforcement Learning, Markov Decision Process, Markov Chains, Deep Learning, Artificial Intelligence.
probability of every event depends on its previous event. For example if there is a sequence of events like e1, e2, e3, e4, e5, e6…….. whose corresponding states are s1, s2, s3, s4, s5, s6….. respectively then the probability of occurrence of event say e5 corresponding to state s5 depends only on