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They look for to establish a list of context-dependent rules that collectively store and use understanding in a very piecewise manner in order to make predictions.[79]In reinforcement learning, the setting is often represented being a Markov conclusion approach (MDP). Numerous reinforcements learning algorithms use dynamic programming techniques.[5