如何在Google Colab中渲染OpenAI Gym?
原文链接:
https://colab.research.google.com/drive/1flu31ulJlgiRL1dnN2ir8wGh9p7Zij2t#scrollTo=pdb2JwZy4jGj
install dependancies, takes around 45 seconds
下面两个必须要提前安装好,要不然只用pip安装是会报错的~
!pip install gym pyvirtualdisplay > /dev/null 2>&1
!apt-get install -y xvfb python-opengl ffmpeg > /dev/null 2>&1
吃豆人环境:Pacman Dependancies
!apt-get update > /dev/null 2>&1
!apt-get install cmake > /dev/null 2>&1
!pip install --upgrade setuptools 2>&1
!pip install ez_setup > /dev/null 2>&1
!pip install gym[atari] > /dev/null 2>&1
Imports and Helper functions
import gym
from gym import logger as gymlogger
from gym.wrappers import Monitor
gymlogger.set_level(40) #error only
import tensorflow as tf
import numpy as np
import random
import matplotlib
import matplotlib.pyplot as plt
%matplotlib inline
import math
import glob
import io
import base64
from IPython.display import HTML
from IPython import display as ipythondisplay
from pyvirtualdisplay import Display
display = Display(visible=0, size=(1400, 900))
display.start()
"""
Utility functions to enable video recording of gym environment and displaying it
To enable video, just do "env = wrap_env(env)""
"""
def show_video():
mp4list = glob.glob('video/*.mp4')
if len(mp4list) > 0:
mp4 = mp4list[0]
video = io.open(mp4, 'r+b').read()
encoded = base64.b64encode(video)
ipythondisplay.display(HTML(data='''<video alt="test" autoplay
loop controls style="height: 400px;">
<source src="data:video/mp4;base64,{0}" type="video/mp4" />
</video>'''.format(encoded.decode('ascii'))))
else:
print("Could not find video")
def wrap_env(env):
env = Monitor(env, './video', force=True)
return env
env = wrap_env(gym.make("MsPacman-v0"))
#check out the pacman action space!
print(env.action_space)
observation = env.reset()
while True:
env.render()
#your agent goes here
action = env.action_space.sample()
observation, reward, done, info = env.step(action)
if done:
break;
env.close()
show_video()