December 2019
Intermediate to advanced
368 pages
11h 10m
English
Content preview from Hands-On Neuroevolution with Python
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Pole-balancing experiments
In this chapter, we continued with experiments related to the classic problems of computer science in the field of reinforcement learning. We started with a discussion of how to implement an avoidance control optimization method using the NEAT algorithm, allowing us to balance a cart-pole apparatus (or an inverted pendulum). We began with a single pole-balancing system and provided all the necessary equations of motion that allow us to numerically approximate real-world physical apparatus.
We learned how specific control actions could be applied to the cart-pole apparatus in the form of the bang-bang controller. The bang-bang controller is a unique form of control system that is designed to apply a series of actions ...
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