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The intention of reinforcement learning is to discover a policy, and that is a mapping from states to steps, that maximizes the anticipated cumulative reward over time.It allows us to decrease the dimension in the data without Substantially loss of knowledge. PCA cuts down the dimension by locating a couple orthogonal linear combinations (principal

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