Deep neuroevolution implemented in numpy
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Updated
Sep 25, 2020 - Python
Deep neuroevolution implemented in numpy
DNE4py is a python library that aims to run and visualize many different evolutionary algorithms with high performance using mpi4py. It allows easy evaluation of evolutionary algorithms in high dimension (e.g. neural networks for reinforcement learning)
High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
This project solves Gym's Bipedal Walker problem using modified deep neuroevolution.
TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
Deep Neuroevolution
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