Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players

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Gamma-World (γ-World) is a generative multi-agent world model that renders a single shared world in which several independently-controlled agents stay causally connected. It supports action-responsive streaming rollouts and generalizes from two-player training to four-player (and beyond) interaction without additional training. Gamma-World is built on the NVIDIA Cosmos stack (Cosmos-Predict2.5).

Citation

@article{gammaworld2026,
    title={Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players},
    author={Fangfu Liu and Kai He and Tianchang Shen and Tianshi Cao and
            Sanja Fidler and Yueqi Duan and Jun Gao and Igor Gilitschenski and
            Zian Wang and Xuanchi Ren},
    journal={arXiv preprint arXiv:2605.28816},
    year={2026}
}