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Update README with changes

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Mo8it 2022-04-05 03:21:46 +02:00
parent 83852c2da9
commit fc151aa63a

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@ -121,11 +121,11 @@ The documentation of `run_rl` includes all possible optional arguments.
env_helper.shared.agent.policy.learner.approximator.table
----
To generate a LaTeX table with the states and actions combintation names for the Q-matrix, run the following:
To generate a LaTeX table with the states and actions combintation names for the Q-matrix, run the following after activating the environment in `ReCo.jl/analysis`:
[source,julia]
----
include("analysis/Q_matrix_latex_export.jl")
include("Q_matrix_latex_export.jl")
export_q_matrix(env_helper, FILENAME_WITHOUT_EXTENSION)
----
@ -158,11 +158,11 @@ The function's documentation explains where the output is placed.
=== Mean kappa
To plot the mean of kappa as the ratio of the eigenvalues of the gyration tensor, run the following:
To plot the mean of kappa as the ratio of the eigenvalues of the gyration tensor, run the following after activating the environment in `ReCo.jl/analysis`:
[source,julia]
----
include("analysis/mean_kappa.jl")
include("mean_kappa.jl")
plot_mean_κ(; rl_dir=rl_dir, n_last_episodes=N_LAST_EPISODES)
----
@ -170,11 +170,13 @@ plot_mean_κ(; rl_dir=rl_dir, n_last_episodes=N_LAST_EPISODES)
== Run analysis
First, `cd` into and activate the environment in `ReCo.jl/analysis`.
=== Mean squared displacement and random walk
[source,julia]
----
include("analysis/mean_squared_displacement.jl")
include("mean_squared_displacement.jl")
run_msd_analysis()
run_random_walk()
----
@ -185,7 +187,7 @@ The output is `ReCo.jl/exports/graphics/mean_squared_displacement.pdf` and `ReCo
[source,julia]
----
include("analysis/radial_distribution_function/radial_distribution_function.jl")
include("radial_distribution_function/radial_distribution_function.jl")
run_radial_distribution_analysis()
----
@ -195,7 +197,7 @@ The output is `ReCo.jl/exports/graphics/radial_distribution.pdf` and `ReCo.jl/ex
[source,julia]
----
include("analysis/reward_discount_analysis.jl")
include("reward_discount_analysis.jl")
run_reward_discount_analysis()
----