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In Reinforcement Learning, an agent learns to communicate with an atmosphere by undertaking actions and obtaining benefits or penalties dependant on its actions.It allows us to decrease the dimension with the data without the need of A great deal loss of information. PCA decreases the dimension by locating a couple of orthogonal linear combos (prin