Neural Approximations for Optimal Control and Decision

Neural Approximations for Optimal Control and Decision

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Neural Approximations for Optimal Control and Decision provides a comprehensive methodology for the approximate solution of functional optimization problems using neural networks and other nonlinear approximators where the use of traditional optimal control tools is prohibited by complicating factors like non-Gaussian noise, strong nonlinearities, large dimension of state and control vectors, etc.Features of the text include:- a general functional optimization framework;- thorough illustration of recent theoretical insights into the approximate solutions of complex functional optimization prob...