Author

Ming Liu

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#artificial intelligence Preprint Sep 2026

DeepJEPA: Scaling World Models from Within

World-model planners typically scale outward by rolling farther, sampling more trajectories, or optimizing longer, while assigning the same computation to every imagined transition. We show that making every transition uniformly deeper wastes computation and can degrade planning because useful refinement is concentrate...

Zi-Jian Jin, Yun-Bei Zhang, Yuan-Zhe Liu et al. · 0 citations

#artificial intelligence Preprint Mar 2026

MOSAIC: A Universal Agent-Level Interface for Cross-Paradigm Agent Mixing and Human-AI Collaboration

MOSAIC is an open-source platform that enables heterogeneous agents (RL policies, LLMs, VLMs, and human operators) to act within shared reinforcement learning environments in ad-hoc team settings with reproducible results.

Abdulhamid M. Mousa, Jin-Hui Pang, Rakhmonberdi Khajiev et al. · 0 citations