NVIDIA & Tsinghua Propose Gamma-World: World Models Evolve from ‘Solo Play’ to ‘Multi-Agent Coexistence’
Gamma-World systematically solves multi-agent world modeling via simplex agent encoding and sparse hub attention, enabling zero-shot generalization from 2-player training to 4-player inference and 24 FPS real-time rollout, with average FVD reduction >40%.
入选理由:Simplex encoding ensures equidistant, parameter-free, scalable agent identity re










































