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In Section 3, we obtain the optimal policies of our optimization problem with two cases ((hat{y}>1) or (hat{y}<1)).
Numerical examples are worked to illustrate the salient features of the optimization technique as well as to give insight into the nature of the optimal policies.
The realization of the developed optimal policies to the real plants shows the benefit and potential of the optimization.
He'll need to focus not only on optimal policies but also on pithy messages.
They introduced optimal policies for each case.
The Pareto front of Pareto optimal policies is shown.
Thus there can be multiple optimal policies for a POMDPIP.
The optimal policies can be computed and stored offline.
The Sampled Security Policy algorithm is to compute optimal policies.
We can see that the optimal policies are quite different.
Mathematica 8.0, is used to derive the optimal policies.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com