An educational resource to help anyone learn deep reinforcement learning.
Alternatives To Spinningup
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Reinforcement Learning19,193
7 months ago1April 11, 2020113mitJupyter Notebook
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
a month ago216mitPython
An educational resource to help anyone learn deep reinforcement learning.
Awesome Rl8,195
9 months ago5
Reinforcement learning resources curated
3 months ago40unlicenseJupyter Notebook
A course in reinforcement learning in the wild
Financial Machine Learning5,355
13 hours ago5Python
A curated list of practical financial machine learning tools and applications.
Deep Reinforcement Learning Hands On2,527
a year ago30mitPython
Hands-on Deep Reinforcement Learning, published by Packt
Rl Adventure2,450
2 years ago16Jupyter Notebook
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
10 months ago21mitPython
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Coach2,29511a year ago13October 10, 201990apache-2.0Python
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Muzero General2,203
6 months ago54mitPython
Alternatives To Spinningup
Select To Compare

Alternative Project Comparisons

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 (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.

This module contains a variety of helpful resources, including:

  • a short introduction to RL terminology, kinds of algorithms, and basic theory,
  • an essay about how to grow into an RL research role,
  • a curated list of important papers organized by topic,
  • a well-documented code repo of short, standalone implementations of key algorithms,
  • and a few exercises to serve as warm-ups.

Get started at spinningup.openai.com!

Citing Spinning Up

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

    author = {Achiam, Joshua},
    title = {{Spinning Up in Deep Reinforcement Learning}},
    year = {2018}
Popular Deep Learning Projects
Popular Rl Projects
Popular Machine Learning Categories

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.