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Assembler Encoding Versus Connectivity Matrix Encoding in the Inverted Pendulum Problem with a Hidden State

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Assembler Encoding is the Artificial Neural Network encoding method. To date, Assembler Encoding has been tested in the optimization problem and in the so-called predator-prey problem. The paper reports experiments in a next test problem, i.e. in the inverted pendulum problem. To compare Assembler Encoding with other Artificial Neural Network encoding methods in the experiments, two direct encodings were also tested.
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bwmeta1.element.baztech-article-BUJ7-0007-0051
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