Approximation of Optimal Control Surfaces for Skew-Symmetric Evolutionary Game Dynamics
arXiv:2207.07167 · doi:10.1016/j.chaos.2022.112535
Abstract
In this paper we study the problem of approximating the general solution to an optimal control problem whose dynamics arise from a skew-symmetric evolutionary game with arbitrary initial condition. Our approach uses a Fourier approximation method and generalizes prior work in the use of orthogonal function approximation for optimal control. At the same time we cast the fitting problem in the context of a non-standard feedforward neural network and derive the back-propagation operator in this context. An example of the efficacy of this approach is provided and generalizations are discussed.
arXiv comment17 pages, 5 figures
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