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They seek to detect a list of context-dependent principles that collectively keep and implement know-how inside of a piecewise way as a way to make predictions.[79]In reinforcement learning, the setting is usually represented being a Markov conclusion process (MDP). Several reinforcements learning algorithms use dynamic programming techniques.[fift