Physically Interpretable World Models via Weakly Supervised Representation Learning

Fuente: arXiv

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Bibliographic Details
Main Authors:	Mao, Zhenjiang, Umasudhan, Mrinall Eashaan, Ruchkin, Ivan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2412.12870