问如何使用Openai稳定基线RL算法的自定义Openai健身房环境？

EN

import gym
import numpy as np

from stable_baselines.common.policies import MlpPolicy
from stable_baselines.common.vec_env import SubprocVecEnv
from stable_baselines.common import set_global_seeds
from stable_baselines import ACKTR, PPO2
from gym_fixed_wing.fixed_wing import FixedWingAircraft


def make_env(env_id, rank, seed=0):
    """
    Utility function for multiprocessed env.

    :param env_id: (str) the environment ID
    :param num_env: (int) the number of environments you wish to have in subprocesses
    :param seed: (int) the inital seed for RNG
    :param rank: (int) index of the subprocess
    """

    def _init():
        env = FixedWingAircraft("fixed_wing_config.json")
        #env = gym.make(env_id)
        env.seed(seed + rank)
        return env

    set_global_seeds(seed)
    return _init

if __name__ == '__main__':
    env_id = "fixed_wing"
    #env_id = "CartPole-v1"
    num_cpu = 4  # Number of processes to use
    # Create the vectorized environment
    env = SubprocVecEnv([lambda: FixedWingAircraft for i in range(num_cpu)])
    #env = SubprocVecEnv([make_env(env_id, i) for i in range(num_cpu)])

    model = PPO2(MlpPolicy, env, verbose=1)
    model.learn(total_timesteps=25000)

    obs = env.reset()
    for _ in range(1000):
        action, _states = model.predict(obs)
        obs, rewards, dones, info = env.step(action)
        env.render()

Traceback (most recent call last):
  File "/home/bonie/PycharmProjects/deepRL_fixedwing/fixed-wing-gym/gym_fixed_wing/ACKTR_fixedwing.py", line 38, in <module>
    model = PPO2(MlpPolicy, env, verbose=1)
  File "/home/bonie/PycharmProjects/deepRL_fixedwing/stable-baselines/stable_baselines/ppo2/ppo2.py", line 104, in __init__
    self.setup_model()
  File "/home/bonie/PycharmProjects/deepRL_fixedwing/stable-baselines/stable_baselines/ppo2/ppo2.py", line 134, in setup_model
    n_batch_step, reuse=False, **self.policy_kwargs)
  File "/home/bonie/PycharmProjects/deepRL_fixedwing/stable-baselines/stable_baselines/common/policies.py", line 660, in __init__
    feature_extraction="mlp", **_kwargs)
  File "/home/bonie/PycharmProjects/deepRL_fixedwing/stable-baselines/stable_baselines/common/policies.py", line 540, in __init__
    scale=(feature_extraction == "cnn"))
  File "/home/bonie/PycharmProjects/deepRL_fixedwing/stable-baselines/stable_baselines/common/policies.py", line 221, in __init__
    scale=scale)
  File "/home/bonie/PycharmProjects/deepRL_fixedwing/stable-baselines/stable_baselines/common/policies.py", line 117, in __init__
    self._obs_ph, self._processed_obs = observation_input(ob_space, n_batch, scale=scale)
  File "/home/bonie/PycharmProjects/deepRL_fixedwing/stable-baselines/stable_baselines/common/input.py", line 51, in observation_input
    type(ob_space).__name__))
NotImplementedError: Error: the model does not support input space of type NoneType