ahunteruk/RNeat: Neuroevolution of Augmenting Topologies - NEAT
Version 0.1.0

Implementation of the Neuroevolution of Augmenting Topologies (NEAT) algorithm for training neural networks through a genetic evolution approach. This is a port of the LUA code produced by Seth Bling as made famous through MarI/O video.

Getting started

Package details

AuthorAndrew Hunter <[email protected]>
MaintainerAndrew Hunter <[email protected]>
LicenseGPL
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("ahunteruk/RNeat")
ahunteruk/RNeat documentation built on May 11, 2017, 12:13 a.m.