Updated README with instructions

README.adoc

@@ -3,3 +3,64 @@
 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()
+----