Overview

evolearn is a neuroevolution framework for designing artificial life experiments using variants of the HyperNEAT algorithm. Using this package enables you to add a generative encoding mechanism for hyper-parameter search to your existing reinforcement learning experiments, while also providing a simplified testbed for conducting agent-based foraging research.

Addtional information about HyperNEAT and alternative implementations can be found at http://eplex.cs.ucf.edu/neat_software/.