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University of Amsterdam
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Hierarchical planning can unlock substantial performance gains in long-horizon control tasks, but only if high-level actions align with low-level execution capabilities.
Intuitive-physics knowledge in video models is not only present but also varies dramatically with model architecture and layer depth, revealing critical insights into representation learning.