本文介绍了仅在Jupyter笔记本电脑中显示OpenAI体育馆的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我想在笔记本中使用OpenAI体育馆,并且将体育馆内嵌.

I want to play with the OpenAI gyms in a notebook, with the gym being rendered inline.

这是一个基本示例:

import matplotlib.pyplot as plt
import gym
from IPython import display
%matplotlib inline

env = gym.make('CartPole-v0')
env.reset()

for i in range(25):
   plt.imshow(env.render(mode='rgb_array'))
   display.display(plt.gcf())
   display.clear_output(wait=True)
   env.step(env.action_space.sample()) # take a random action

env.close()

这有效,我在笔记本上看到了健身房:

This works, and I get see the gym in the notebook:

但是!,它还会打开一个交互式窗口,显示完全相同的内容. 我不希望打开此窗口:

But! it also opens an interactive window that shows precisely the same thing. I don't want this window to be open:

推荐答案

我在这里做了一个工作示例,您可以进行分叉: https://kyso.io/eoin/openai-gym-jupyter ,其中有两个在Jupyter中渲染的示例-一个作为mp4,另一个作为实时gif.

I made a working example here that you can fork: https://kyso.io/eoin/openai-gym-jupyter with two examples of rendering in Jupyter - one as an mp4, and another as a realtime gif.

.mp4示例非常简单.

The .mp4 example is quite simple.

import gym
from gym import wrappers

env = gym.make('SpaceInvaders-v0')
env = wrappers.Monitor(env, "./gym-results", force=True)
env.reset()
for _ in range(1000):
    action = env.action_space.sample()
    observation, reward, done, info = env.step(action)
    if done: break
env.close()

然后在一个新的单元格中

Then in a new cell

import io
import base64
from IPython.display import HTML

video = io.open('./gym-results/openaigym.video.%s.video000000.mp4' % env.file_infix, 'r+b').read()
encoded = base64.b64encode(video)
HTML(data='''
    <video width="360" height="auto" alt="test" controls><source src="data:video/mp4;base64,{0}" type="video/mp4" /></video>'''
.format(encoded.decode('ascii')))

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07-07 18:26