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>'"