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Markov Decision Process - What are the three elements of the Markov Decision Process?


In every model that follows the Markov Decision Process (MDP), these three components are essential: A real-valued reward function R(s,a) captures the effects of each action in each state, where S is a collection of potential world states and A is a set of possible actions.