Value Prediction in Engineering Applications
نویسندگان
چکیده
In engineering application heuristics are widely used for discrete optimization tasks. We report two cases (in Dense Wavelength Division Multiplexing and High Level Synthesis), where a recent “intelligent” heuristic (STAGE) performs excellently by learning a value-function of the states. We have found that if a global structure of local minima is found by the function approximator then search time may not have to scale with the dimension of the problem in the exponent, but it may become a polynomial function of the dimension.
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