Introduces looped transformer architectures for world models that iteratively refine latent states to achieve up to 100x parameter efficiency via adaptive computation depth.
32 Published by FaceMind Research Asia Yeskendir Koishekenov, Aldo Lipani, and Nicola Cancedda
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Looped World Models
Introduces looped transformer architectures for world models that iteratively refine latent states to achieve up to 100x parameter efficiency via adaptive computation depth.