<reponame>ChrisProgramming2018/ReinforcementLearning
""" search for the optimal hyperparameter values  to run several in parallel use
    different """
import os
import argparse


def main(args):
    """ try different values for epsilon and the decay
        and the two parameter from per alpha and beta
    Args:
        param1 (args) :
    """
    
    list_of_update_freq= [10, 15, 20, 2, 5]
    #batch_size_list = [2, 4,  ,1024]
    for freq in list_of_update_freq:
        freq = int(freq)
        os.system(f'python3 ./main_parallel.py \
                --target_update_freq {freq}')

if __name__ == "__main__":
    parser = argparse.ArgumentParser(description='Average_TD3')
    main(parser.parse_args())

""" search for the optimal hyperparameter values  to run several in parallel use
    different """
import os
import argparse


def main(args):
    """ try different values for epsilon and the decay
        and the two parameter from per alpha and beta
    Args:
        param1 (args) :
    """
    
    list_of_update_freq= [10, 15, 20, 2, 5]
    #batch_size_list = [2, 4,  ,1024]
    for freq in list_of_update_freq:
        freq = int(freq)
        os.system(f'python3 ./main_parallel.py \
                --target_update_freq {freq}')

if __name__ == "__main__":
    parser = argparse.ArgumentParser(description='Average_TD3')
    main(parser.parse_args())
search for the optimal hyperparameter values  to run several in parallel use     different try different values for epsilon and the decay         and the two parameter from per alpha and beta     Args:         param1 (args) : #batch_size_list = [2, 4,  ,1024]