M
Mava
instadeepai/Mava
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
★925stars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A open-source Agents project, built with Python, focusing on jax and marl
Who made it?Maintained by instadeepai team, 925⭐ on GitHub, #850 out of 2166 in Agents
Why does it exist?In the Agents space, jax workflows faced efficiency bottlenecks. Mava was built by instadeepai to address these marl challenges.
What can it do?Key use cases: multi-agent-reinforcement-learning, multi-agent-systems, multiagent
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/instadeepai/Mava
🔗 github.com/instadeepai/Mava
Topics
jaxmarlmulti-agent-reinforcement-learningmulti-agent-systemsmultiagentreinforcement-learningresearch