我刚刚在 Google Colab 上安装了 openAI gym，但是当我尝试以 explained here 运行“CartPole-v0”环境时.
代码:
import gym
env = gym.make('CartPole-v0')
for i_episode in range(20):
observation = env.reset()
for t in range(100):
env.render()
print(observation)
action = env.action_space.sample()
observation, reward, done, info = env.step(action)
if done:
print("Episode finished after {} timesteps".format(t+1))
break
我明白了:
WARN: gym.spaces.Box autodetected dtype as <class 'numpy.float32'>. Please provide explicit dtype.
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-19-a81cbed23ce4> in <module>()
4 observation = env.reset()
5 for t in range(100):
----> 6 env.render()
7 print(observation)
8 action = env.action_space.sample()
/content/gym/gym/core.py in render(self, mode)
282
283 def render(self, mode='human'):
--> 284 return self.env.render(mode)
285
286 def close(self):
/content/gym/gym/envs/classic_control/cartpole.py in render(self, mode)
104
105 if self.viewer is None:
--> 106 from gym.envs.classic_control import rendering
107 self.viewer = rendering.Viewer(screen_width, screen_height)
108 l,r,t,b = -cartwidth/2, cartwidth/2, cartheight/2, -cartheight/2
/content/gym/gym/envs/classic_control/rendering.py in <module>()
21
22 try:
---> 23 from pyglet.gl import *
24 except ImportError as e:
25 reraise(prefix="Error occured while running `from pyglet.gl import *`",suffix="HINT: make sure you have OpenGL install. On Ubuntu, you can run 'apt-get install python-opengl'. If you're running on a server, you may need a virtual frame buffer; something like this should work: 'xvfb-run -s \"-screen 0 1400x900x24\" python <your_script.py>'")
/usr/local/lib/python3.6/dist-packages/pyglet/gl/__init__.py in <module>()
225 else:
226 from .carbon import CarbonConfig as Config
--> 227 del base
228
229 # XXX remove
NameError: name 'base' is not defined
问题与this question about NameError in openAI gym 相同
没有渲染。我不知道如何在 google colab 中使用它:'xvfb-run -s \"-screen 0 1400x900x24\" python <your_script.py>'"
最佳答案
在 google colab 中渲染健身房环境的一种方法是在运行环境时使用 pyvirtualdisplay 和存储 rgb 帧数组。可以使用 matplotlib 的动画功能和用于 Ipython 显示模块的 HTML 函数对环境帧进行动画处理。 你可以找到实现 here . 确保安装所需的库，您可以在 colab 的第一个单元格中找到这些库。如果 google colab 的第一个链接不起作用，您可以查看 this one .
关于python - Google Colaboratory 中的 openAI Gym NameError，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/49203023/