metadata
pipeline_tag: image-to-video
base_model: nvidia/Cosmos-Predict2.5-2B
tags:
- World-Model
- Multi-Agent
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players
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}
}