Artificial Gene Regulatory Networks and their evolution, in Julia

In the Julia REPL, call

> Pkg.checkout("https://github.com/d9w/AGRN.jl.git")

Tests are provided to demonstrate use. To run all tests, simply call

$ julia run_tests.jl

Unless you're making changes to the AGRN model, it's recommended to run in the Julia REPL to avoid compilation on each call. An example script using the OpenAI gym benchmark set has been provided. This script can take some time to compile due to the use of the PyCall.jl library. If you are missing python packages for running this script, check out the Conda.jl package.

> include("example.jl");
> fitness = get_fitness("MountainCarContinuous-v0");
> config = AGRN.Config();
> maxfit, best = evolve(fitness, config)