<p>In <a href="https://github.com/mlpack/mlpack/pull/686#discussion_r70258429">src/mlpack/methods/ne/tasks.hpp</a>:</p>
<pre style='color:#555'>> + 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;
</pre>
<p>Action should be the index of the neuron with highest probability. If we just use one neuron it's 0 or 1.</p>
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