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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 fitness function with the novelty score

Now we have defined the basic principles behind the NS method, we need to find a way to integrate it into the definition of the fitness function that will be used to guide the neuroevolution process. In other words, we need to define the novelty metric that can capture the amount of novelty that is introduced by a particular solver agent during the evolutionary process. There are several characteristics that can be used as novelty metrics for a solver agent:

  • The novelty of the solver genotype structure—the structural novelty
  • The stepping stones found in the search space of the solution—the behavioral novelty

Our primary interest in this chapter is to create a successful maze navigator agent. To ...

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Publisher Resources

ISBN: 9781838824914