OpenAI's ES used in a feudal hrl style
-
Updated
Jan 24, 2022 - Julia
OpenAI's ES used in a feudal hrl style
A collection of code additions and scripts for Uber AI's Deep Neuroevolution and Atari Zoo
Deep neuroevolution implemented in numpy
Application of HMS in deep neuroevolution
This project solves Gym's Bipedal Walker problem using modified deep neuroevolution.
Analysis of the Application of Genetic Algorithms to Reinforcement Learning
This is repository teaching PyTorch1.0.
Implementation of OpenAI's ES in julia
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
TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
Deep Neuroevolution
Add a description, image, and links to the deep-neuroevolution topic page so that developers can more easily learn about it.
To associate your repository with the deep-neuroevolution topic, visit your repo's landing page and select "manage topics."