AI RESEARCH

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

arXiv CS.CV

ArXi:2605.28816v1 Announce Type: new World models for interactive video generation have largely focused on single-agent settings, where future observations are generated from a single control signal. However, many generated environments require multi-agent interaction: multiple players, robots, or embodied agents act simultaneously within a shared space. Scaling world models to such settings requires a principled multi-agent design: agents should remain independently controllable, permutation-symmetric, and efficient inference while maintaining consistency across time and perspectives.