Reinforcement Learning, Markov Decision Process, Markov Chains, Deep Learning, Artificial Intelligence.
which is played with a dice. Every next move in such a game depends on its current state(position) and not on previous states. The same concept can be applied to a Markov process. According to Wikipedia, A stochastic process has the Markov property if the conditional probability distribution of