Reinforcement Learning, Markov Decision Process, Markov Chains, Deep Learning, Artificial Intelligence.
present state and reward. For this process to be a Markov decision process, every state in the process must include the necessary information about all the past interactions between agent and environment that may affect the future decisions. If every state, in process satisfies this condition then