def common_arg_parser():
    """
    Create an argparse.ArgumentParser for run_mujoco.py.
    """
    parser = arg_parser()
    parser.add_argument('--env', help='environment ID', type=str, default='Reacher-v2')
    parser.add_argument('--env_type', help='type of environment, used when the environment type cannot be automatically determined', type=str)
    parser.add_argument('--seed', help='RNG seed', type=int, default=None)
    parser.add_argument('--alg', help='Algorithm', type=str, default='ppo2')
    parser.add_argument('--num_timesteps', type=float, default=1e6),
    parser.add_argument('--network', help='network type (mlp, cnn, lstm, cnn_lstm, conv_only)', default=None)
    parser.add_argument('--gamestate', help='game state to load (so far only used in retro games)', default=None)
    parser.add_argument('--num_env', help='Number of environment copies being run in parallel. When not specified, set to number of cpus for Atari, and to 1 for Mujoco', default=None, type=int)
    parser.add_argument('--reward_scale', help='Reward scale factor. Default: 1.0', default=1.0, type=float)
    parser.add_argument('--save_path', help='Path to save trained model to', default=None, type=str)
    parser.add_argument('--save_video_interval', help='Save video every x steps (0 = disabled)', default=0, type=int)
    parser.add_argument('--save_video_length', help='Length of recorded video. Default: 200', default=200, type=int)
    parser.add_argument('--play', default=False, action='store_true')
    return parser
def common_arg_parser():
    """
    Create an argparse.ArgumentParser for run_mujoco.py.
    """
    parser = arg_parser()
    parser.add_argument('--env', help='environment ID', type=str, default='Reacher-v2')
    parser.add_argument('--env_type', help='type of environment, used when the environment type cannot be automatically determined', type=str)
    parser.add_argument('--seed', help='RNG seed', type=int, default=None)
    parser.add_argument('--alg', help='Algorithm', type=str, default='ppo2')
    parser.add_argument('--num_timesteps', type=float, default=1e6),
    parser.add_argument('--network', help='network type (mlp, cnn, lstm, cnn_lstm, conv_only)', default=None)
    parser.add_argument('--gamestate', help='game state to load (so far only used in retro games)', default=None)
    parser.add_argument('--num_env', help='Number of environment copies being run in parallel. When not specified, set to number of cpus for Atari, and to 1 for Mujoco', default=None, type=int)
    parser.add_argument('--reward_scale', help='Reward scale factor. Default: 1.0', default=1.0, type=float)
    parser.add_argument('--save_path', help='Path to save trained model to', default=None, type=str)
    parser.add_argument('--save_video_interval', help='Save video every x steps (0 = disabled)', default=0, type=int)
    parser.add_argument('--save_video_length', help='Length of recorded video. Default: 200', default=200, type=int)
    parser.add_argument('--play', default=False, action='store_true')
    return parser
def common_arg_parser ( ) : parser = arg_parser ( ) parser . add_argument ( '--env' , help = 'environment ID' , type = str , default = 'Reacher-v2' ) parser . add_argument ( '--env_type' , help = 'type of environment, used when the environment type cannot be automatically determined' , type = str ) parser . add_argument ( '--seed' , help = 'RNG seed' , type = int , default = None ) parser . add_argument ( '--alg' , help = 'Algorithm' , type = str , default = 'ppo2' ) parser . add_argument ( '--num_timesteps' , type = float , default = 1e6 ) , parser . add_argument ( '--network' , help = 'network type (mlp, cnn, lstm, cnn_lstm, conv_only)' , default = None ) parser . add_argument ( '--gamestate' , help = 'game state to load (so far only used in retro games)' , default = None ) parser . add_argument ( '--num_env' , help = 'Number of environment copies being run in parallel. When not specified, set to number of cpus for Atari, and to 1 for Mujoco' , default = None , type = int ) parser . add_argument ( '--reward_scale' , help = 'Reward scale factor. Default: 1.0' , default = 1.0 , type = float ) parser . add_argument ( '--save_path' , help = 'Path to save trained model to' , default = None , type = str ) parser . add_argument ( '--save_video_interval' , help = 'Save video every x steps (0 = disabled)' , default = 0 , type = int ) parser . add_argument ( '--save_video_length' , help = 'Length of recorded video. Default: 200' , default = 200 , type = int ) parser . add_argument ( '--play' , default = False , action = 'store_true' ) return parser
Create an argparse.ArgumentParser for run_mujoco.py.
Create an argparse . ArgumentParser for run_mujoco . py .