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README.adoc |
= ReCo.jl image:https://img.shields.io/badge/code%20style-blue-4495d1.svg[Code Style: Blue, link=https://github.com/invenia/BlueStyle] **Re**inforcement learning of **co**llective behavior. == Setup The steps from the setup have to be followed before running anything in the following sections. === Launch Julia To activate the environment, navigate to the main directory `/ReCo.jl` and then run the following to launch Julia: [source, bash] ---- cd ReCo.jl julia --threads auto ---- `auto` automatically sets the number of threads to use. If you want to use a specific number `N` of threads, replace `auto` with `N`. === Acitivating environment After launching Julia, the package environment has to be activated by running the follwing in the REPL: [source, julia] ---- using Pkg Pkg.activate(".") ---- === Install dependencies After activating the package environment, run the follwing to install the package dependencies: [source, julia] ---- Pkg.instantiate() ---- == Run simulation // TODO == Run reinforcement learning // TODO == Run analysis After running the following command blocks in the REPL, the output can be found in the directory `exports/graphics`. === Mean squared displacement [source, julia] ---- include("analysis/mean_squared_displacement.jl") run_msd_analysis() run_random_walk() ---- === Radial distribution function [source, julia] ---- include("analysis/radial_distribution_function/radial_distribution_function.jl") run_radial_distribution_analysis() ----