First install all dependencies-
import gym
import numpy as np
import matplotlib.pyplot as plt
from IPython import display as ipythondisplay
Then use-
from pyvirtualdisplay import Display
display = Display(visible=0, size=(400, 300))
display.start()
Finally run-
env = gym.make("CartPole-v0")
env.reset()
prev_screen = env.render(mode='rgb_array')
plt.imshow(prev_screen)
for i in range(50):
action = env.action_space.sample()
obs, reward, done, info = env.step(action)
screen = env.render(mode='rgb_array')
plt.imshow(screen)
ipythondisplay.clear_output(wait=True)
ipythondisplay.display(plt.gcf())
if done:
break
ipythondisplay.clear_output(wait=True)
env.close()
Try this :-
!apt-get install python-opengl -y
!apt install xvfb -y
!pip install pyvirtualdisplay
!pip install piglet
from pyvirtualdisplay import Display
Display().start()
import gym
from IPython import display
import matplotlib.pyplot as plt
%matplotlib inline
env = gym.make('CartPole-v0')
env.reset()
img = plt.imshow(env.render('rgb_array')) # only call this once
for _ in range(40):
img.set_data(env.render('rgb_array')) # just update the data
display.display(plt.gcf())
display.clear_output(wait=True)
action = env.action_space.sample()
env.step(action)
#This worked for me so I guess it should also work for you.
