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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You're reading from Hands-On Neuroevolution with Python.
Iaroslav Omelianenko occupied the position of CTO and research director for more than a decade. He is an active member of the research community and has published several research papers at arXiv, ResearchGate, Preprints, and more. He started working with applied machine learning by developing autonomous agents for mobile games more than a decade ago. For the last 5 years, he has actively participated in research related to applying deep machine learning methods for authentication, personal traits recognition, cooperative robotics, synthetic intelligence, and more. He is an active software developer and creates open source neuroevolution algorithm implementations in the Go language.
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Iaroslav Omelianenko occupied the position of CTO and research director for more than a decade. He is an active member of the research community and has published several research papers at arXiv, ResearchGate, Preprints, and more. He started working with applied machine learning by developing autonomous agents for mobile games more than a decade ago. For the last 5 years, he has actively participated in research related to applying deep machine learning methods for authentication, personal traits recognition, cooperative robotics, synthetic intelligence, and more. He is an active software developer and creates open source neuroevolution algorithm implementations in the Go language.
Read more about Iaroslav Omelianenko