def train_adqn():
args = parse_train_adqn_args()
settings = load_settings(DEFAULT_ADQN_SETTINGS_FILE, args.settings_yml)
_train_common(settings)
from _async_algo import train_async
train_async(q_learning=True, settings=settings)
def train_adqn():
args = parse_train_adqn_args()
settings = load_settings(DEFAULT_ADQN_SETTINGS_FILE, args.settings_yml)
if args.run_tag is not None:
settings["run_tag"] = args.run_tag
if args.frameskip is not None:
settings["frameskip"] = args.frameskip
model_savefile = _train_common(settings)
from _async_algo import train_async
train_async(model_savefile=model_savefile, q_learning=True, settings=settings)