December 2019
Intermediate to advanced
368 pages
11h 10m
English
The following table provides a quick comparison between the Python libraries we've discussed in this chapter:
|
NEAT-Python |
PyTorch NEAT |
MultiNEAT |
Deep Neuroevolution |
|
|
NEAT |
Yes |
Yes |
Yes |
No |
|
HyperNEAT |
No |
Partial (CPPN only) |
Yes |
No |
|
ES-HyperNEAT |
No |
No |
Yes |
No |
|
Novelty Search |
No |
No |
Yes |
Yes |
|
OpenAI GYM |
No |
Yes |
Yes |
Yes |
|
Visualization |
No |
No |
Yes |
Yes |
|
GPU support |
No |
Yes |
No |
Yes |
|
PIP |
Yes |
No |
No |
No |
|
Anaconda |
No |
No |
Yes |
No |
|
Checkpoints |
Yes |
Yes |
No |
Yes |
The NEAT-Python library provides excellent visualization integration and is easy to use. However, it has a significant drawback in that it is implemented ...
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