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Jun-Qiao Zhao

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Preprint Sep 2026

The Right Future for Action: Learning Action-Relevant Predictive States in World Action Models

These findings motivate Action-Relevant Predictive States (ARPS), a compact predictive interface between the video and action experts that achieves 99.2% success on LIBERO and transfers to LIBERO-Plus without adaptation, reaching 87.3% and exceeding Fast-WAM by 39.2 percentage points.

Qi-Wen Gu, Ji-Fan Li, Bing-Jie Gao et al. · 5 citations · ⚡1

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