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Author

Hong-Bo Lu

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Preprint Aug 2026

RISE: Adaptive Imagination for World Action Models

World Action Models (WAMs) improve planning by incorporating future world evolution into action generation, yet existing methods allocate a fixed imagination budget to every scene. We propose RISE (\textbf{R}efining \textbf{I}magination through \textbf{SE}lective Rollout), a system-level adaptive imagination framework...

Hong-Bo Lu, Liang Yao, Chenghao He et al. · 3 citations
Preprint Sep 2026

DroneWAM: Efficient World Action Model for Drone Visual Navigation

DroneWAM adopts a JEPA-based architecture to model future states directly in representation space, avoiding the cost of explicit future image generation and reduces the average prediction depth from 8 to 4.58 while improving trajectory accuracy, demonstrating that predictive computation can be allocated more effectivel...

Liang Yao, Fan Liu, Hong-Bo Lu et al. · 0 citations

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