example.sh

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echo Training the model...
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python trainModel.py --env Pendulum-v1 --max_learn 10000 --save_freq 500 --save_path Models --name_prefix example_pendulum
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echo Preparing the input policies...
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python preparePolicies.py --inputFolder Models --inputNames "example_pendulum_4000_steps; example_pendulum_4500_steps; example_pendulum_5500_steps; example_pendulum_6000_steps" --outputName "example_around_5000"
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echo Computing the Vignette...
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python Vignette.py --env Pendulum-v1 --inputFolder Models --inputName example_pendulum_5000_steps --eval_maxiter 5 --nb_lines 10 --policiesPath ComparePolicies/example_around_5000.xz --outputName example_pendulum_5000_steps
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echo Loading the computed Vignette...
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python savedVignette.py --directory SavedVignette --filename example_pendulum_5000_steps
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