Two-Phase Iteration for Value Function Approximation and Hyperparameter Optimization in Gaussian-Kernel-Based Adaptive Critic Design

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-02.hindawi.com/articles/mpe/volume-2015/760459/figures/760459.fig.006a.svgz" name="760459.fig.006a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>The resulted control performance using GK-ADP</td></tr><tr class="fig-image" id="b"><td><object data="https://static-02.hindawi.com/articles/mpe/volume-2015/760459/figures/760459.fig.006b.svgz" name="760459.fig.006b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The resulted control performance using KHDP</td></tr></table>

<div>The outputs of the actor networks resulting from GK-ADP and KHDP.</div>

Mathematical Problems in Engineering

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Figure 6

Figure 6: Two-Phase Iteration for Value Function Approximation and Hyperparameter Optimization in Gaussian-Kernel-Based Adaptive Critic Design 