Deep Neuroevolution
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Updated
Jan 8, 2024 - Python
Deep Neuroevolution
TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
This project solves Gym's Bipedal Walker problem using modified deep neuroevolution.
High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
Implementation of OpenAI's ES in julia
OpenAI's ES used in a feudal hrl style
Application of HMS in deep neuroevolution
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
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)
Deep neuroevolution implemented in numpy
A collection of code additions and scripts for Uber AI's Deep Neuroevolution and Atari Zoo
This is repository teaching PyTorch1.0.
Analysis of the Application of Genetic Algorithms to Reinforcement Learning
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