https://github.com/ryanrudes/colabgymrender

Render OpenAI Gym environments in Google Colaboratory
https://github.com/ryanrudes/colabgymrender

Last synced: 4 months ago
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Render OpenAI Gym environments in Google Colaboratory

• Host: GitHub
• URL: https://github.com/ryanrudes/colabgymrender
• Owner: ryanrudes
• License: mit
• Archived: true
• Created: 2021-02-07T00:03:08.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2023-05-06T14:52:13.000Z (almost 2 years ago)
• Last Synced: 2024-10-28T22:21:44.844Z (4 months ago)
• Language: Jupyter Notebook
• Homepage: https://pypi.org/project/colabgymrender/
• Size: 163 KB
• Stars: 57
• Watchers: 3
• Forks: 16
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
## This repository has been archived (read below)

Due to breaking changes released in the introduction of `gymnasium`, I have taken a similar route to continue support and avoid confusion, hereby moving all future code maintenance to a newly named repository. See [`renderlab`](https://github.com/ryanrudes/renderlab) for details.

# Gym Rendering for Colab

[![PyPI download month](https://img.shields.io/pypi/dm/colabgymrender.svg)](https://pypi.python.org/pypi/colabgymrender/)

[![PyPI - Status](https://img.shields.io/pypi/status/colabgymrender)](https://pypi.python.org/pypi/colabgymrender/)

[![PyPI](https://img.shields.io/pypi/v/colabgymrender)](https://pypi.python.org/pypi/colabgymrender/)

![GitHub](https://img.shields.io/github/license/Ryan-Rudes/colabgymrender)

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Ryan-Rudes/colabgymrender/blob/main/notebooks/demo.ipynb)

## Installation

```bash

apt-get install -y xvfb python-opengl ffmpeg > /dev/null 2>&1

pip install -U colabgymrender

pip install imageio==2.4.1

pip install --upgrade AutoROM

AutoROM --accept-license

pip install gym[atari,accept-rom-license]

```

## Usage

```python

import gym

from colabgymrender.recorder import Recorder

env = gym.make("Breakout-v0")

directory = './video'

env = Recorder(env, directory)

observation = env.reset()

terminal = False

while not terminal:

  action = env.action_space.sample()

  observation, reward, terminal, info = env.step(action)

env.play()

```

## Demo

[Watch it on YouTube](https://youtu.be/nv2dU_9oZJ0)

https://user-images.githubusercontent.com/18452581/116127430-d2afb300-a695-11eb-991a-99d13c015006.mp4

https://user-images.githubusercontent.com/18452581/116128757-48684e80-a697-11eb-9fbd-a716476b7c90.mp4

https://user-images.githubusercontent.com/18452581/116128782-4ef6c600-a697-11eb-80d2-fbf22ff7cf6f.mp4

https://user-images.githubusercontent.com/18452581/116128789-50c08980-a697-11eb-8ed3-6b4f645c3e1f.mp4