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In Reinforcement Learning, an agent learns to connect with an surroundings by undertaking actions and receiving benefits or penalties depending on its actions.It will allow us to decrease the dimension on the data without Significantly loss of knowledge. PCA decreases the dimension by locating a number of orthogonal linear combinations (principal f

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