def main():
config_keys = ['env', 'agent', 'train']
parser = argparse.ArgumentParser()
for k in config_keys:
parser.add_argument(f'--{k}', required=True)
parser.add_argument('--cont')
args = parser.parse_args()
config = utils.json2dict(args, config_keys)
config.train = DEFAULT_CONFIG | config.train
config.train.trial_datetime = args.cont or config.train.trial_datetime or datetime.now(
).strftime('%Y-%m-%d %H-%M-%S')
train(config)
def main():
config_keys = ['env', 'agent', 'data']
parser = argparse.ArgumentParser()
for k in config_keys:
parser.add_argument(f'--{k}', required=True)
args = parser.parse_args()
config = utils.json2dict(args, config_keys)
env = envs.catalog(config.env)
agent = agents.catalog(env, DictTree(teacher=True) | config.agent)
agent.to(config.data.get('device', 'cuda'))
env.training = True
DataLoader(DEFAULT_CONFIG | config.data.train, env, agent)
env.training = False
DataLoader(DEFAULT_CONFIG | config.data.test, env, agent)
def get_argument_ex(self, str):
from utils import json2dict
str2dict = json2dict(self.request.body)
return str2dict[str] if str in str2dict.keys() else False
