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Preprint Oct 2026

1Step-WAM: Your World Action Model but Faster using 1-Step Action Generation

World Action Models (WAMs) unify visual world modeling and action generation, yet their real-world deployment is heavily bottlenecked by iterative action denoising and the sequential execution of visual prefilling and action prediction. We demonstrate that the action-denoising trajectories in WAMs are approximately str...

Run-Dong Su, Pengtao Chen, Hao-Han Geng et al. · 0 citations
Preprint Oct 2026

Continual Humanoid Motion Learning

Humanoid whole-body controllers can now track a diverse set of dynamic motions, but they are typically trained offline and then frozen, so teaching such a controller a new skill tends to erode the skills it already mastered. We study continual learning for humanoid whole-body motion, where a single controller must acqu...

Zhe-Wen He, Hao Huang, Geeta Chandra Raju Bethala et al. · 0 citations

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