Markov Decision Process (Mdp)
Markov Decision Process (MDP) refers to a statistical theory that models scenarios where outcomes are partly based on random events and partly on calculated decisions. This method extends from Markov chains with added rewards and actions, enabling choices and inducing motivation.
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