MAgent2
A high-performance engine for creating multi-agent reinforcement learning environments with thousands of pixel agents in gridworlds.
What is MAgent2?
MAgent2 is a library for creating high-performance multi-agent reinforcement learning environments where thousands of pixel-based agents interact in gridworlds. It solves the problem of simulating large-scale agent populations efficiently, enabling research into artificial collective intelligence and competitive scenarios like battles. The project is a maintained fork of the original MAgent, offering reference environments built with the PettingZoo API for compatibility and ongoing support.
Researchers and developers working on multi-agent reinforcement learning, artificial collective intelligence, and large-scale agent simulations, particularly those needing environments with massive agent counts.
Developers choose MAgent2 for its optimized performance with very large numbers of agents, maintained codebase with regular updates, and seamless integration with the PettingZoo ecosystem, making it a reliable tool for cutting-edge multi-agent research.
Overview
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
Use Cases
Best For
- Simulating battles with thousands of interacting agents
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
