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Guanqun Cao

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#machine learning Preprint Jun 2026

J-LAW: Joint Localization and Action-Conditioned World Modeling via Coupled Latent Factor Graphs

Experiments show that J-LAW's factor-graph representation can improve long-horizon latent consistency and recover more reliable predictive states under partial observations, forming a foundation for future integrated localization and planning systems.

Guanqun Cao, Liang Chen · 0 citations