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Coupled Local and Global World Models for Efficient First Order RL

Joseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti
Jun 3, 2026 at 04:00
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arXiv:2602.06219v2 Announce Type: replace-cross Abstract: World models offer a promising avenue for more faithfully capturing complex dynamics, including contacts and non-rigidity, as well as complex sensory information, such as visual perception, in situations where standard simulators struggle. However, these models are computationally complex...

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