text: import roboschool
  import gym
  
  from tf2rl.algos.td3 import TD3
  from tf2rl.experiments.trainer import Trainer
  
  
  if __name__ == '__main__':
      parser = Trainer.get_argument()
      parser = TD3.get_argument(parser)
      parser.add_argument('--env-name', type=str, default="RoboschoolAnt-v1")
      parser.set_defaults(batch_size=100)
      parser.set_defaults(n_warmup=10000)
      args = parser.parse_args()
  
      env = gym.make(args.env_name)
      test_env = gym.make(args.env_name)
      policy = TD3(
          state_shape=env.observation_space.shape,
          action_dim=env.action_space.high.size,
          gpu=args.gpu,
          memory_capacity=args.memory_capacity,
          max_action=env.action_space.high[0],
          batch_size=args.batch_size,
          n_warmup=args.n_warmup)
      trainer = Trainer(policy, env, args, test_env=test_env)
      trainer()
  