Creating visualisations

Since the control space is 2D, the latent space can be visualised by sampling the control space across a closed interval (i.e., width and height in this example). Use the plot_interval message to do this:

• plot_interval for 2D plane takes 6 arguments:
• interval value boundary at the left, top, right, bottom (these usually are the same as the values_bound attribute of nn.terrain.gui), and the resolution of the x and y axes (these usually are the same as the width and height of nn.terrain.gui)

The greyscale visualisation is like a surface map that looks at a terrain from above, where brighter pixels denote higher latent value.