Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data

Fuxiang Zhang, Chengxing Jia, Yi-Chen Li, Lei Yuan, Yang Yu +1 more
2/12/2026

No official code found. Best implementation: LAMDA-RL/ODIS (46 stars, Apache-2.0, PyTorch, last commit 2024-10-31).

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Code Implementations(1)

LAMDA-RL/ODISCommunity62%
PyTorchApache-2.0

The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".

466Shell, PythonFeb 26, 20231 years agoApache-2.0
deep-learningmachine-learningmulti-agent-reinforcement-learningpytorchreinforcement-learning

Cite this paper

@article{zhang2026discovering,
  title  = {Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data},
  author = {Fuxiang Zhang and Chengxing Jia and Yi-Chen Li and Lei Yuan and Yang Yu and Zongzhang Zhang},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:cc95b268a5f0ac69af25194dc0c7b052ec8d2303},
  journal = {ICLR 2023 2023}
}

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