Rank #6,360 938 starsPython

Mava

by instadeepai (organization)

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX (description from the project’s GitHub page)

View on GitHub

Repository facts

Stars: 938
Forks: 122
Open issues and pull requests: 21
Primary language: Python
License: Apache License 2.0 (Apache-2.0)
Owner: instadeepai · Organization
Created: Mar 30, 2021
Last push: Sep 9, 2026

Topics

Rank #6,360 of 9,507 in AI on GitHub, by stars. Data from the GitHub API, fetched Oct 18, 2026; star counts change daily. Stars measure popularity, not quality or safety, and a listing is not an endorsement. How this list is made

Add this badge to your README

Ranked #6,360 in AI on GitHub Shows this repository’s rank in AI on GitHub and links back to this page. Ranks are by stars and change when the list is refreshed. The badge is not an endorsement or a rating. About the badges

Markdown (for a README)

[![Ranked #6,360 in AI on GitHub](https://unitedstatesofamericasuperintelligence.com/badges/github/instadeepai--mava.svg)](https://unitedstatesofamericasuperintelligence.com/github/instadeepai--mava/)

HTML

<a href="https://unitedstatesofamericasuperintelligence.com/github/instadeepai--mava/"><img src="https://unitedstatesofamericasuperintelligence.com/badges/github/instadeepai--mava.svg" alt="Ranked #6,360 in AI on GitHub" height="20"></a>

Projects that share this one’s GitHub topics.

Rank 2,180: pytorch/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
3,604 starsPythonMITLast push Oct 18, 2026
Rank 7,917: facebookresearch/BenchMARL
BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being sys…
675 starsPythonMITLast push Feb 7, 2026
Rank 6,678: instadeepai/jumanji
🕹️ A diverse suite of scalable reinforcement learning environments in JAX
871 starsPythonApache-2.0Last push Oct 16, 2026
Rank 6,743: bold-lab-ai/JaxMARL
Multi-Agent Reinforcement Learning with JAX
859 starsPythonApache-2.0Last push Sep 10, 2026
Rank 7,671: hijkzzz/pymarl2
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
710 starsPythonApache-2.0Last push May 18, 2024
Rank 8,834: TsinghuaC3I/MARTI
[ICLR 2026] A Framework for LLM-based Multi-Agent Reinforced Training and Inference
570 starsPythonMITLast push Aug 20, 2026

Repository facts

Topics

Add this badge to your README

Related projects

Rank 2,180: pytorch/rl

Rank 7,917: facebookresearch/BenchMARL

Rank 6,678: instadeepai/jumanji

Rank 6,743: bold-lab-ai/JaxMARL

Rank 7,671: hijkzzz/pymarl2

Rank 8,834: TsinghuaC3I/MARTI

Support Us