Artificial Intelligence, Reinforcement Learning, Machine Learning, Neural Networks, Markov Chains.
denotes the value of the state for each state in the state space. MARKOV DECISION PROCESS Markov Decision Processes are basically Markov Reward Process with decisions- this describes environments in which every state is Markov. The Markov Decision Process is tuple <S, A, P, R, γ> where S represents