January 2020
Intermediate to advanced
346 pages
9h 8m
English
Content preview from Hands-On Genetic Algorithms with Python
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Technical requirements
In this chapter, we will be using Python 3 with the following supporting libraries:
- deap
- numpy
- sklearn
- gym—introduced in this chapter
The Gym environments that will be used in this chapter are MountainCar-v0 (https://gym.openai.com/envs/MountainCar-v0/) and CartPole-V1 (https://gym.openai.com/envs/CartPole-v1/).
The programs that will be used in this chapter can be found in this book's GitHub repository at https://github.com/PacktPublishing/Hands-On-Genetic-Algorithms-with-Python/tree/master/Chapter10.
Check out the following video to see the Code in Action: http://bit.ly/2Oey7V0
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