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The aim of reinforcement learning is to find out a coverage, which is a mapping from states to steps, that maximizes the anticipated cumulative reward with time.It lets us to decrease the dimension of the data devoid of Substantially loss of data. PCA reduces the dimension by finding a couple of orthogonal linear combos (principal elements) of the