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1.5 KiB
Text
66 lines
No EOL
1.5 KiB
Text
= ReCo.jl
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image:https://img.shields.io/badge/code%20style-blue-4495d1.svg[Code Style: Blue, link=https://github.com/invenia/BlueStyle]
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**Re**inforcement learning of **co**llective behavior.
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== Setup
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The steps from the setup have to be followed before running anything in the following sections.
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=== Launch Julia
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To activate the environment, navigate to the main directory `/ReCo.jl` and then run the following to launch Julia:
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[source, bash]
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----
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cd ReCo.jl
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julia --threads auto
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----
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`auto` automatically sets the number of threads to use. If you want to use a specific number `N` of threads, replace `auto` with `N`.
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=== Acitivating environment
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After launching Julia, the package environment has to be activated by running the follwing in the REPL:
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[source, julia]
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----
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using Pkg
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Pkg.activate(".")
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----
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=== Install dependencies
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After activating the package environment, run the follwing to install the package dependencies:
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[source, julia]
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----
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Pkg.instantiate()
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----
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== Run simulation
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// TODO
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== Run reinforcement learning
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// TODO
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== Run analysis
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After running the following command blocks in the REPL, the output can be found in the directory `exports/graphics`.
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=== Mean squared displacement
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[source, julia]
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----
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include("analysis/mean_squared_displacement.jl")
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run_msd_analysis()
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run_random_walk()
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----
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=== Radial distribution function
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[source, julia]
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----
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include("analysis/radial_distribution_function/radial_distribution_function.jl")
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run_radial_distribution_analysis()
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---- |