[mlpack-git] [mlpack/mlpack] NeuralEvolution - implemented gene, genome (#686)

[Marcus Edel]

> +      double theta_dot = mlpack::math::Random(-1.5, 1.5);
> +
> +      for (ssize_t step=0; step<num_step; ++step) {
> +        // Convert input into range [0, 1]
> +        std::vector<double> inputs = {(x + 2.4) / 4.8,
> +                                      (x_dot + 0.75) / 1.5,  // ??
> +                                      (theta + theta_limit) / 0.41,
> +                                      (theta_dot + 1.0) / 2.0,
> +                                      1};  // TODO: use arma::mat for input.
> +        genome.Activate(inputs);
> +        std::vector<double> output;
> +        genome.Output(output);
> +
> +        double action = output[0];
> +        if (output[0] < 0.5) {
> +          action = -1;

Action should be the index of the neuron with highest probability. If we just use one neuron it's 0 or 1.

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