https://github.com/openai/spinningup

An educational resource to help anyone learn deep reinforcement learning.
https://github.com/openai/spinningup

Last synced: 5 days ago
JSON representation

An educational resource to help anyone learn deep reinforcement learning.

• Host: GitHub
• URL: https://github.com/openai/spinningup
• Owner: openai
• License: mit
• Created: 2018-11-07T20:52:15.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2024-08-05T03:30:30.000Z (5 months ago)
• Last Synced: 2024-12-02T19:07:01.766Z (19 days ago)
• Language: Python
• Homepage: https://spinningup.openai.com/
• Size: 30.3 MB
• Stars: 10,208
• Watchers: 228
• Forks: 2,234
• Open Issues: 232
• Metadata Files:
  • Readme: readme.md
  • License: LICENSE

Awesome Lists containing this project

README

        
**Status:** Maintenance (expect bug fixes and minor updates)

Welcome to Spinning Up in Deep RL! 

==================================

This is an educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL).

For the unfamiliar: [reinforcement learning](https://en.wikipedia.org/wiki/Reinforcement_learning) (RL) is a machine learning approach for teaching agents how to solve tasks by trial and error. Deep RL refers to the combination of RL with [deep learning](http://ufldl.stanford.edu/tutorial/).

This module contains a variety of helpful resources, including:

- a short [introduction](https://spinningup.openai.com/en/latest/spinningup/rl_intro.html) to RL terminology, kinds of algorithms, and basic theory,

- an [essay](https://spinningup.openai.com/en/latest/spinningup/spinningup.html) about how to grow into an RL research role,

- a [curated list](https://spinningup.openai.com/en/latest/spinningup/keypapers.html) of important papers organized by topic,

- a well-documented [code repo](https://github.com/openai/spinningup) of short, standalone implementations of key algorithms,

- and a few [exercises](https://spinningup.openai.com/en/latest/spinningup/exercises.html) to serve as warm-ups.

Get started at [spinningup.openai.com](https://spinningup.openai.com)!

Citing Spinning Up

------------------

If you reference or use Spinning Up in your research, please cite:

```

@article{SpinningUp2018,

    author = {Achiam, Joshua},

    title = {{Spinning Up in Deep Reinforcement Learning}},

    year = {2018}

}

```