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train_nm.py
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47 lines (37 loc) · 1.81 KB
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import yaml
import argparse
from extension.samplers import NelderMead, IncompleteNelderMead, ApproximateNelderMead
def main(args):
#################
# CONFIGURATION #
#################
# Load the configs
with open(args.path_config, 'r') as stream:
yaml_dict = yaml.safe_load(stream)
with open(args.path_sampler_config, 'r') as stream:
yaml_sampler_dict = yaml.safe_load(stream)
config = yaml_dict['hyperparameters_ppo']
meta_wandb = yaml_dict['meta_wandb']
meta_model = yaml_dict['meta_model']
############
# OPTIMIZE #
############
if args.method == 'nnm':
solver = NelderMead(args=yaml_sampler_dict, config_model=config, meta_wandb=meta_wandb,
meta_model=meta_model, config_sampler=yaml_sampler_dict)
elif args.method == 'inm':
solver = IncompleteNelderMead(args=yaml_sampler_dict, config_model=config, meta_wandb=meta_wandb,
meta_model=meta_model, config_sampler=yaml_sampler_dict)
elif args.method == 'anm':
solver = ApproximateNelderMead(args=yaml_sampler_dict, config_model=config, meta_wandb=meta_wandb,
meta_model=meta_model, config_sampler=yaml_sampler_dict)
else:
raise ValueError("Method not recognized. Choose from: 'nnm', 'inm', 'anm'")
solver.search()
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--path_config', '-p', type=str, default=None, help='Path to the configuration for the SAC model')
parser.add_argument('--path_sampler_config', '-ps', type=str, default=None, help='Path to the configuration of the sampler')
parser.add_argument('--method', '-m', type=str, default = None, help='Method to use for the optimization')
args = parser.parse_args()
main(args)