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)