Home Projects reaver
reaver
Python

reaver

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

by inoryy · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
actor-criticartificial-intelligencedeep-learningMITPython
View on GitHub
In plain words

Explore deep reinforcement learning techniques focused on playing StarCraft II, though no longer maintained.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
reaver — GitHub preview card
📈 Star history
562561
2026-07-202026-08-31
📈 Track reaver

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

reaver has 561 stars on GitHub. It has been forked 86 times. reaver is written mainly in Python. It has been in active development since 2017. reaver is available under the MIT license. Its main topics are actor-critic, artificial-intelligence, deep-learning, deepmind.

Frequently asked questions

What is reaver?

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

Is reaver open source?

reaver is an open-source project. It is released under the MIT license.

Is reaver free?

Yes. reaver is free and open source — you can use, modify and self-host it.

What license does reaver use?

reaver is available under the MIT license.

What language is reaver written in?

reaver is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — reaver

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=inoryy-reaver)](https://olud.ai/project/inoryy-reaver.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.