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openai/spinningup

An educational resource from OpenAI for learning deep reinforcement learning, with intros, key papers, exercises and short algorithm implementations.

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What is it?

Spinning Up in Deep RL is an educational resource from OpenAI aimed at people who want to learn deep reinforcement learning, which combines reinforcement learning, where agents learn tasks by trial and error, with deep learning.

The project bundles several learning materials: a short introduction to RL terminology, algorithm types and basic theory; an essay on how to grow into an RL research role; a curated list of important papers organized by topic; and a few warm-up exercises. It also includes a code repository of short, standalone implementations of key deep RL algorithms, with documentation.

The project is in maintenance status, so the maintainers expect only bug fixes and minor updates. Documentation is hosted on spinningup.openai.com.

Key features

  • 01Concise introduction to RL terminology, algorithm families and basic theory
  • 02Curated list of important deep RL papers organized by topic
  • 03Short, standalone implementations of key deep RL algorithms
  • 04Warm-up exercises for practice
  • 05Essay on building a career in RL research

Use cases

  • Learning deep reinforcement learning from scratch
  • Finding foundational papers to read by topic
  • Studying compact reference implementations of RL algorithms
  • Working through exercises to build hands-on RL skills

Quick start

  1. 1

    Read the online documentation at spinningup.openai.com

Things to know

  • The README describes it as in maintenance mode, so only bug fixes and minor updates are expected.
  • It is a learning resource with implementations, not a general-purpose RL library.

In collections

Learning & education toolsReinforcement learning frameworks & training environments

Topics

#reinforcement-learning#deep-learning#education#machine-learning#tutorial#papers

FAQ

What is spinningup?
An educational resource from OpenAI for learning deep reinforcement learning, with intros, key papers, exercises and short algorithm implementations. Spinning Up in Deep RL is an educational resource from OpenAI aimed at people who want to learn deep reinforcement learning, which combines reinforcement learning, where agents learn tasks by trial and error, with deep learning.
Is spinningup free to use? What license does it have?
spinningup is open source under the MIT license. Check the license terms before using it in commercial products.
Is spinningup still maintained?
No commits for 6+ months. The last commit to spinningup was on Aug 5, 2024.
What can I use spinningup for?
Learning deep reinforcement learning from scratch Finding foundational papers to read by topic Studying compact reference implementations of RL algorithms Working through exercises to build hands-on RL skills
How do I install spinningup?
Read the online documentation at spinningup.openai.com
Where can I get spinningup?
The source code and installation instructions are on GitHub: https://github.com/openai/spinningup

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