The values for the number of particles, self-propulsion velocity and simulation duration are used here as an example. For more information about possible values and other optional arguments, press `?` in the REPL after running `using ReCo`. Then type `init_sim` or `run_sim` followed by pressing enter. This will show the method's documention.
Run a reinforcement learning process and return the environment helper:
[source, julia]
----
env_helper = run_rl(ENVTYPE)
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ENVTYPE has to be replaced by one of the environments named after the file names in the directory `ReCo.jl/RL/Envs`, for example: `LocalCOMEnv`. A description of an environment is included at the beginning of the corresponding file.
For more information about all possible optional arguments, press `?` in the REPL after running `using ReCo`. Then type `run_rl` followed by pressing enter.