Author

Shang-Lin Yuan

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Preprint Sep 2026

Rethinking Representations for World-Action Modeling

World-action models jointly learn robot policies and predict future observations, making the representation space an interface between control and prediction. We study the design of this space through controlled comparisons, finding that neither reconstruction fidelity nor pre-trained perceptual features alone ensure e...

Hao-Yi Jiang, Liu Liu, Xin-Jiang Wang et al. · 0 citations

Preprint Aug 2026

DreamWAM: Beyond RGB Future Prediction for World Action Models

DreamWAM is introduced, which reformulates future prediction as structured world modeling beyond RGB, representing future states through complementary views of appearance, motion, geometry, and semantics, showing that robust world-action learning depends not only on predicting the future, but on representing it in a fo...

Shanglin Yuan, Weiheng Zhao, Xin Shi et al. · 4 citations