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.
Aug 18, 2014
Jun 26, 2014
|Assembler Encoding Versus Connectivity Matrix Encoding in the Inverted Pendulum Problem with a Hidden State||Aug 18, 2014|