Web Reference: Aug 22, 2024 · This led us to the exploration of value-function approximation methods. They allow us to view the problem from a slightly different angle, which elegantly transforms the reinforcement learning problem into a supervised machine learning task. The approximation quality depends on the regularity or structure of the value function V . If we allow V to change arbitrary, we cannot hope to have a good approximation. Nonlinear Value Function Approximation • Use artificial neural networks state S parameter
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