openAI Gym NameError in Google Colaboratory

15,936

Solution 1

The Gym will normally render the display using GL, on your screen.

But Colab is run on the web as a notebook, it can’t display directly to your screen. It can only show the result through HTML.

If someone modifies the Gym to maniplulate WebGL, maybe someday. But not now.

Solution 2

One way to render gym environment in google colab is to use pyvirtualdisplay and store rgb frame array while running environment. Environment frames can be animated using animation feature of matplotlib and HTML function used for Ipython display module. You can find the implementation here. Make sure you install required libraries which you can find in the first cell of the colab. In case the first link for google colab doesn't work you can see this one.

Solution 3

i saw an suitablbe answer here.

pip install pyglet==1.5.11
Share:
15,936
Javier A. Zambrano Macias
Author by

Javier A. Zambrano Macias

I'm working on Deep Learning Algorithms. Deep Reinforcement Learning self-learner. I'm passionate about AI.

Updated on July 23, 2022

Comments

  • Javier A. Zambrano Macias
    Javier A. Zambrano Macias almost 2 years

    I've just installed openAI gym on Google Colab, but when I try to run 'CartPole-v0' environment as explained here.

    Code:

    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
    

    I get this:

    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
    

    The problem is the same in this question about NameError in openAI gym

    Nothing is being rendered. I don't know how I could use this in google colab: 'xvfb-run -s \"-screen 0 1400x900x24\" python <your_script.py>'"

  • Javier A. Zambrano Macias
    Javier A. Zambrano Macias over 6 years
    Thank you Korakot. We still have to wait!
  • Javier A. Zambrano Macias
    Javier A. Zambrano Macias about 6 years
    Hi! Not at the moment. I think Korakot is right, Gym should be modified to manipulate webGL and then we would be able to see our algorithm in action. I' ve been thinking of training an algorithm without calling env.render() and try to use the monitor to generate a video file of the experience. What do you think about that?
  • user650585
    user650585 about 6 years
    Hi. Well I just tried it without calling render and it seems to be working. But since I am very new to gym environment, when it comes to recording and playing it back , are you talking about the playback section in this page: github.com/openai/retro?
  • Javier A. Zambrano Macias
    Javier A. Zambrano Macias about 6 years
  • Javier A. Zambrano Macias
    Javier A. Zambrano Macias about 6 years
    I am not sure if what is explained in the playback section is the same. Have you tried it to?
  • NegatioN
    NegatioN almost 6 years
    Super helpful. Until we get WebGL rendering, this is definitely the way to go for anyone stumbling in here.
  • Krishna
    Krishna almost 6 years
    @Yograj It's working fine. But can you add few other lines of code that install Box2D too. CartPole is running fine on it but when I use CarRacing it throws error. I tried installing Box2D from various sources, but failed all the time.
  • Dhia Hassen
    Dhia Hassen over 4 years
    This is not an answer , it is a comment , or rather a question
  • Johannes Ackermann
    Johannes Ackermann about 4 years
    @सत्यमेवजयते Did you happen to figure out a solution for the box2 environments?
  • Krishna
    Krishna about 4 years
    I don't exactly remember, how I did it. Good luck finding it.
  • elexhobby
    elexhobby over 2 years
    Sorry, the file you have requested does not exist.