Hands-On Neuroevolution with Python

Cart-pole apparatus simulation

The given definition of the objective function assumes that we can measure the number of time steps during which the single-pole balancer was in a stable state. To perform such measurements, we need to implement the simulator of the cart-pole apparatus, using the equations of motion and data constraints defined earlier.

The source code for this chapter is available at https://github.com/PacktPublishing/Hands-on-Neuroevolution-with-Python/tree/master/Chapter4.

First, we need to create a file called cart_pole.py in the work directory. This file contains the source code of the equations of motion and the function for evaluating the fitness of a single-pole balancer:

1. We start with a definition of the constants ...