因此,我最近又回到了机器学习领域,决定为“ConnectX”(https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning)开设Kaggle课程。我试着做第4课,我用稳定的基线+张量流来制作人工智能。问题是,我似乎无法正确使用稳定的基线,因为在我尝试导入时,它会立即给我一个错误。以下是错误消息:
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-13-f5986851ce81> in <module>
1 import os
----> 2 from stable_baselines.bench import Monitor
3 from stable_baselines.common.vec_env import DummyVecEnv
4
5 # Create directory for logging training information
~\Anaconda3\lib\site-packages\stable_baselines\__init__.py in <module>
----> 1 from stable_baselines.a2c import A2C
2 from stable_baselines.acer import ACER
3 from stable_baselines.acktr import ACKTR
4 from stable_baselines.deepq import DQN
5 from stable_baselines.her import HER
~\Anaconda3\lib\site-packages\stable_baselines\a2c\__init__.py in <module>
----> 1 from stable_baselines.a2c.a2c import A2C
~\Anaconda3\lib\site-packages\stable_baselines\a2c\a2c.py in <module>
5 import tensorflow as tf
6
----> 7 from stable_baselines import logger
8 from stable_baselines.common import explained_variance, tf_util, ActorCriticRLModel, SetVerbosity, TensorboardWriter
9 from stable_baselines.common.policies import ActorCriticPolicy, RecurrentActorCriticPolicy
~\Anaconda3\lib\site-packages\stable_baselines\logger.py in <module>
15 from tensorflow.python.util import compat
16
---> 17 from stable_baselines.common.misc_util import mpi_rank_or_zero
18
19 DEBUG = 10
~\Anaconda3\lib\site-packages\stable_baselines\common\__init__.py in <module>
2 from stable_baselines.common.console_util import fmt_row, fmt_item, colorize
3 from stable_baselines.common.dataset import Dataset
----> 4 from stable_baselines.common.math_util import discount, discount_with_boundaries, explained_variance, \
5 explained_variance_2d, flatten_arrays, unflatten_vector
6 from stable_baselines.common.misc_util import zipsame, set_global_seeds, boolean_flag
~\Anaconda3\lib\site-packages\stable_baselines\common\math_util.py in <module>
1 import numpy as np
----> 2 import scipy.signal
3
4
5 def safe_mean(arr):
~\Anaconda3\lib\site-packages\scipy\signal\__init__.py in <module>
287
288 """
--> 289 from . import sigtools, windows
290 from .waveforms import *
291 from ._max_len_seq import max_len_seq
~\Anaconda3\lib\site-packages\scipy\signal\windows\__init__.py in <module>
39 """
40
---> 41 from .windows import *
42
43 __all__ = ['boxcar', 'triang', 'parzen', 'bohman', 'blackman', 'nuttall',
~\Anaconda3\lib\site-packages\scipy\signal\windows\windows.py in <module>
5
6 import numpy as np
----> 7 from scipy import linalg, special, fft as sp_fft
8
9 __all__ = ['boxcar', 'triang', 'parzen', 'bohman', 'blackman', 'nuttall',
~\Anaconda3\lib\site-packages\scipy\special\__init__.py in <module>
631 from .sf_error import SpecialFunctionWarning, SpecialFunctionError
632
--> 633 from . import _ufuncs
634 from ._ufuncs import *
635
ImportError: DLL load failed: The specified module could not be found.
看起来scipy
有点问题,但我不知道我能做些什么来修复它。即使运行import stable_baselines
,也会发生此错误。以下是我运行以创建虚拟环境的代码(顺便说一句,这是在PowerShell b/c中,这是Jupyter实验室提供给我的):
python -m venv myenv
.\myenv\Scripts\Activate.ps1
pip install stable-baselines
注意:我不知道这是否有任何意义,但是当我安装stable-baselines
时,出现了一个错误:ERROR: gym 0.17.2 has requirement cloudpickle<1.4.0,>=1.2.0, but you'll have cloudpickle 1.5.0 which is incompatible.
PS:我发现了相同的问题here,但我不知道他们是如何解决的。答案只是说“我使用了anaconda”,但anaconda中没有stable-baselines
包!我试着从anaconda安装tensorflow,从pip安装稳定的基线,但仍然出现同样的错误
上次编辑:看起来此问题与.
导入有关,并且仅在jupyter notebook
中有效(与tensorflow
无关-它在Python CLI中工作正常)。我在关于{
~z~阿尤什
稳定基线站点声称它们还不支持tf2.X。所以这可能是你的问题
试试下面的方法
直到今天(2020年9月4日),他们似乎都在为我工作
我知道这可能有点晚了,但我现在发现了你的问题,并决定尽我所能回答它。祝你好运
如果您专门寻找TF2版本的稳定基线,请检查以下(实验性)分支之一:
或者,尝试稳定基线3(目前为beta版),它基于PyTorch而不是Tensorflow,旨在取代当前基于TF1的SB2版本:
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