Jupyter运行交易强化学习代码遇stable_baselines系列错误求助

• 运行一份交易强化学习Jupyter代码时，原导入语句触发ModuleNotFoundError：

  from stable_baselines.common.vec_env import DummyVecEnv
  from stable_baselines import A2C
  

• 得知stable_baselines已被stable_baselines3替代，安装stable_baselines3后修改导入代码为：

  from stable_baselines3.common.vec_env import DummyVecEnv
  from stable_baselines3 import A2C
  

• 但执行模型初始化代码model = A2C('MlpLstmPolicy', env, verbose=1)时触发ValueError，报错栈信息如下：

  ValueError                                Traceback (most recent call last)
  Input In [84], in <cell line: 1>()
  ----> 1 model = A2C('MlpLstmPolicy', env, verbose=1) 
        2 model.learn(total_timesteps=1000000)
  
  File /Applications/Anaconda/anaconda3/lib/python3.9/site-packages/stable_baselines3/a2c/a2c.py:85, in A2C.__init__(self, policy, env, learning_rate, n_steps, gamma, gae_lambda, ent_coef, vf_coef, max_grad_norm, rms_prop_eps, use_rms_prop, use_sde, sde_sample_freq, normalize_advantage, tensorboard_log, create_eval_env, policy_kwargs, verbose, seed, device, _init_setup_model)
       60 def __init__(
       61     self,
       62     policy: Union[str, Type[ActorCriticPolicy]],
     (...)
       82     _init_setup_model: bool = True,
       83 ):
  ---> 85     super().__init__(
  

内容的提问来源于stack exchange，提问作者Unagi71