Multigradient recursive reinforcement learning NN control for affine nonlinear systems with unmodeled dynamics
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DOI: 10.1002/rnc.4843
Abstract: In this paper, an adaptive reinforcement learning approach is developed for a class of discrete‐time affine nonlinear systems with unmodeled dynamics. The multigradient recursive (MGR) algorithm is employed to solve the local optimal problem, which… read more here.
Keywords: systems unmodeled; nonlinear systems; reinforcement learning; unmodeled dynamics ... See more keywords