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In Reinforcement Learning, an agent learns to interact with an atmosphere by performing steps and getting rewards or penalties depending on its actions.Moore – Penrose inverse could be the most widely known variety of matrix pseudoinverse. In linear algebra pseudoinverse [Tex]A^ + [/Tex]of a matrix A is usually a generalization with th