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therapy_evaluation.sh
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#!/bin/bash
min_horizon=10
num_of_cf_samples=1000
n_jobs=6
num_of_cf_trajectories=1000
python -m src.therapy_evaluation --min_horizon=$min_horizon --num_of_cf_samples=$num_of_cf_samples --n_jobs=$n_jobs --outputs=outputs/ --data=data/therapy/therapy.csv --num_of_cf_trajectories=$num_of_cf_trajectories --cf_mdp_directory=outputs/cf_mdps/ --policy=optimal
python -m src.therapy_evaluation --min_horizon=$min_horizon --num_of_cf_samples=$num_of_cf_samples --n_jobs=$n_jobs --outputs=outputs/ --data=data/therapy/therapy.csv --num_of_cf_trajectories=$num_of_cf_trajectories --cf_mdp_directory=outputs/cf_mdps/ --policy=random
python -m src.therapy_evaluation --min_horizon=$min_horizon --num_of_cf_samples=$num_of_cf_samples --n_jobs=$n_jobs --outputs=outputs/ --data=data/therapy/therapy.csv --num_of_cf_trajectories=$num_of_cf_trajectories --cf_mdp_directory=outputs/cf_mdps/ --policy=greedy
python -m src.therapy_evaluation --min_horizon=$min_horizon --num_of_cf_samples=$num_of_cf_samples --n_jobs=$n_jobs --outputs=outputs/ --data=data/therapy/therapy.csv --num_of_cf_trajectories=$num_of_cf_trajectories --cf_mdp_directory=outputs/cf_mdps/ --policy=randomized