I managed to set up GUI access from my Docker container and confirmed it works by launching Firefox successfully.
After installing OpenAI Gym, I tried running a basic example but encountered an error when attempting to render the environment. The issue appears to be related to OpenGL configuration within the containerized environment.
The error traceback shows:
libGL error: No matching fbConfigs or visuals found
libGL error: failed to load driver: swrast
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python3.5/site-packages/gym/core.py", line 153, in render
return self._render(mode=mode, close=close)
File "/usr/local/lib/python3.5/site-packages/gym/envs/classic_control/pendulum.py", line 108, in _render
from gym.envs.classic_control import rendering
File "/usr/local/lib/python3.5/site-packages/gym/envs/classic_control/rendering.py", line 23, in <module>
from pyglet.gl import *
File "/usr/local/lib/python3.5/site-packages/pyglet/window/xlib/__init__.py", line 166, in __init__
super(XlibWindow, self).__init__(*args, **kwargs)
File "/usr/local/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.
How can I resolve this pyglet configuration issue to enable gym environment rendering in Docker?
I hit this same error running CartPole in Docker. The issue is pyglet can’t initialize a display context, even with X11 forwarding.
Here’s what fixed it for me: create a virtual display with Xvfb. Install xvfb in your container, then run Xvfb :1 -screen 0 1024x768x24 & and export DISPLAY=:1 before your gym code. This gives pyglet a virtual framebuffer without needing GPU access or messy OpenGL drivers.
Alternatively, just use headless rendering with env.render(mode='rgb_array') instead of the default human mode. This returns pixel data directly without opening a window. Way better for training when you don’t need visual output anyway.
had this same issue before! try installing mesa-libgl-devel and make sure you run your container with --volume="/tmp/.X11-unix:/tmp/.X11-unix:rw". also, chk if your DISPLAY var is set correctly. took me ages to figure this out.
NoSuchConfigException happens when pyglet can’t establish a graphics context through X11. I’ve hit this while building RL apps in Docker containers. You’ll probably need to configure your host’s X server to allow container connections. Run xhost +local:docker on your host before starting the container - this lets Docker access your X11 display. What worked for me was installing mesa-dri-drivers specifically since it gives pyglet extra OpenGL drivers to work with. Usually the combo of proper X11 permissions and full mesa packages fixes it. Still having problems? Check if your container can actually create OpenGL contexts by running glxinfo | grep rendering after installing mesa-utils.
This issue arises when your container doesn’t have proper OpenGL support, which is necessary for rendering environments. I faced a similar problem while working with RL environments in Docker; pyglet struggles to find a viable OpenGL configuration due to difficulties with the software renderer (swrast) loading. The fact that Firefox works isn’t relevant here, as OpenGL applications require different setup.
To resolve this, you should install the following packages in your container: mesa-utils, libgl1-mesa-glx, and libgl1-mesa-dri. Additionally, set the environment variable LIBGL_ALWAYS_SOFTWARE=1 to enforce software rendering. Ensure your Docker run command includes X11 forwarding and mounts /tmp/.X11-unix.
If the problem persists, consider running the container with the --privileged flag, which may help in resolving more obstinate OpenGL context issues.
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