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In reinforcement learning, the natural environment is usually represented like a Markov selection process (MDP). Numerous reinforcements learning algorithms use dynamic programming techniques.[fifty three] Reinforcement learning algorithms don't think familiarity with an exact mathematical design in the MDP and they are applied when precise models