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In Reinforcement Learning, an agent learns to connect with an ecosystem by executing steps and receiving benefits or penalties determined by its steps.It lets us to decrease the dimension of the data without Substantially reduction of data. PCA reduces the dimension by locating a several orthogonal linear mixtures (principal parts) of the original