cognac 0.1.6

Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning.

🥃 COGNAC: COoperative Graph-based Networked Agent Challenges

🚧 Documentation is in progress.

COGNAC is a Python-based benchmark suite offering flexible, graph-structured, cooperative multi-agent environments for MARL research. The package offers standardized minimal implementations of several well-known theoretical graph-based MARL problems taken from the literature, adapted for empirical benchmarking with modern RL tooling.

🎯 Benchmark example available here

Getting Started

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List of Environments

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Citing

If you used this environment for your experiments or found it helpful, consider citing it:

@article{sintes2025cognac,
  title={COGNAC - Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning},
  author={Sintes, Jules}, 
  url={\url{https://github.com/yojul/cognac}},
  publisher={Github},
  year={2025},
}

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License

This project is licensed under the Apache-2.0 License. See LICENSE.txt for details.

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Contact

For questions or feedback, please open an issue or contact the maintainer:

• Repo Owner: Jules Sintes, INRIA Paris, DIENS, École Normale Supérieure, PSL University.
• Email: [e-mail]