Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning

Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu +2 more
2/12/2026

No official code found. Best implementation: zyfsjycc/GoMARL (31 stars, Apache-2.0, last commit 2024-08-14).

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Code Implementations(1)

zyfsjycc/GoMARLCommunity56%
Apache-2.0

Codes of GoMARL accompanying the paper "Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning"(NeurIPS 2023). GoMARL is a domain-agnostic MARL method that learns automatic grouping for efficient cooperation by promoting intra- and inter-group coordination.

313Shell, PythonOct 27, 20232 years agoApache-2.0

Cite this paper

@article{zang2026automatic,
  title  = {Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning},
  author = {Yifan Zang and Jinmin He and Kai Li and Haobo Fu and Qiang Fu and Junliang Xing and Jian Cheng},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:c7ee28709156f074cbbd6355104d2bb9eb6cae96},
  journal = {NEURIPS 2023 2023}
}

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