First Multiplayer World Model Generates Real-Time Multi-Agent Scenarios首个多智能体世界模型发布，实时生成四人交互场景
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Researchers introduced the first multiplayer world model for highly dynamic environments governed by complex physical interactions, trained on 10,000 hours of Rocket League gameplay with publicly available bots.
The 5-billion-parameter latent diffusion model generates four-player matches in real time at 20 frames per second, learning to attribute scene changes to the correct agent while maintaining coherence under arbitrary action combinations.
Unlike single-player world models that treat other agents as environmental noise, this system conditions on multiple agents' action streams to predict their interdependent effects in real time.