December 2019
Intermediate to advanced
368 pages
11h 10m
English
Content preview from Hands-On Neuroevolution with Python
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Hyperparameters for the maze-solver population
For this experiment, we choose to use the MultiNEAT Python library, which uses the Parameters Python class to maintain a list of all supported hyperparameters. The initialization of the hyperparameters for the population of maze solvers is defined in the create_robot_params function. Next, we discuss the essential hyperparameters and the reasons behind choosing particular values for them:
- We decided to have a medium-sized population providing sufficient population diversity from the very beginning:
params.PopulationSize = 250
- We are interested in producing a compact genome topology during the evolution and limiting the number of species within the population. Thus, we have defined tiny probabilities ...
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