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In reinforcement learning, the surroundings is typically represented as being a Markov selection process (MDP). Numerous reinforcements learning algorithms use dynamic programming methods.[fifty three] Reinforcement learning algorithms tend not to presume knowledge of a precise mathematical model of the MDP and so are used when exact versions are i