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Hands-On Neuroevolution with Python
book

Hands-On Neuroevolution with Python

by Iaroslav Omelianenko
December 2019
Intermediate to advanced
368 pages
11h 10m
English
Packt Publishing
Content preview from Hands-On Neuroevolution with Python

The single-pole balancing experiment

Now that we have an objective function defined and implemented along with a simulation of cart-pole apparatus dynamics, we are ready to start writing the source code to run the neuroevolutionary process with the NEAT algorithm. We will use the same NEAT-Python library as in the XOR experiment in the previous chapter, but with the NEAT hyperparameters adjusted appropriately. The hyperparameters are stored in the single_pole_config.ini file, which can be found in the source code repository related to this chapter. You need to copy this file into your local Chapter4 directory, in which you already should have a Python script with the cart-pole simulator we created earlier.

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Publisher Resources

ISBN: 9781838824914