我可以按照video中的说明使用docker容器获取GUI。 （通过尝试启动firefox测试）
我已经安装了OpenAI健身房。
尝试运行示例代码here时出现以下错误
libGL error: No matching fbConfigs or visuals found
libGL error: failed to load driver: swrast
Traceback (most recent call last):
File "<stdin>", line 2, in <module>
File "/root/miniconda3/envs/reinforcement-learning/lib/python3.5/site-packages/gym/core.py", line 153, in render
return self._render(mode=mode, close=close)
File "/root/miniconda3/envs/reinforcement-learning/lib/python3.5/site-packages/gym/core.py", line 285, in _render
return self.env.render(mode, close)
File "/root/miniconda3/envs/reinforcement-learning/lib/python3.5/site-packages/gym/core.py", line 153, in render
return self._render(mode=mode, close=close)
File "/root/miniconda3/envs/reinforcement-learning/lib/python3.5/site-packages/gym/envs/classic_control/cartpole.py", line 114, in _render
from gym.envs.classic_control import rendering
File "/root/miniconda3/envs/reinforcement-learning/lib/python3.5/site-packages/gym/envs/classic_control/rendering.py", line 23, in <module>
from pyglet.gl import *
File "/root/miniconda3/envs/reinforcement-learning/lib/python3.5/site-packages/pyglet/gl/__init__.py", line 239, in <module>
import pyglet.window
File "/root/miniconda3/envs/reinforcement-learning/lib/python3.5/site-packages/pyglet/window/__init__.py", line 1896, in <module>
gl._create_shadow_window()
File "/root/miniconda3/envs/reinforcement-learning/lib/python3.5/site-packages/pyglet/gl/__init__.py", line 208, in _create_shadow_window
_shadow_window = Window(width=1, height=1, visible=False)
File "/root/miniconda3/envs/reinforcement-learning/lib/python3.5/site-packages/pyglet/window/xlib/__init__.py", line 166, in __init__
super(XlibWindow, self).__init__(*args, **kwargs)
File "/root/miniconda3/envs/reinforcement-learning/lib/python3.5/site-packages/pyglet/window/__init__.py", line 517, in __init__
raise NoSuchConfigException('No standard config is available.')
pyglet.window.NoSuchConfigException: No standard config is available.
答案 0 :(得分：0)
如果在安装NVIDIA GPU驱动程序时未选择退出opengl库（例如，为.run文件指定-no-opengl-files选项），则可能是问题所在。我有一台没有安装这些lib的笔记本电脑，并从包含健身房环境的图像中获取了该容器，然后开始工作。但是，在装有nvidia驱动程序之外还安装了opengl lib的PC上，与上述相同的映像无法正常工作，并且引发了pyglet.window.NoSuchConfigException。
PS：我已经通过python3控制台在PC上进行了测试，发现可以使用pyglet在容器外部手动创建Window。