NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training
It is NEAT but the weights are trained with Natural Evolution Strategy and the weights are shared across genomes.
Requirements
numpy
cloudpickle
Install
pip install nesneat
Optional
matplotlib # To draw networks
mpi4py # For parallelization
gym # For examples
Usage
Check examples
PYTHONPATH="$(pwd):$PYTHONPATH" python examples/cartpole.py
# Or in parallel
PYTHONPATH="$(pwd):$PYTHONPATH" mpirun -np 2 python examples/cartpole.py
1 maintainer
Release files for nesneat 1.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| nesneat-1.0.7.tar.gz | 5.4 MB | Details |
Release files / nesneat-1.0.7.tar.gz
| Download URL | nesneat-1.0.7.tar.gz |
|---|---|
| Size | 5.4 MB |
| Tags | Source |
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