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COMPAS: Compose Actions and Slots in Object-Centric World Models

In this paper, we propose a novel approach, <b>COMPAS</b> (<b>COMP</b>ose <b>A</b>ctions and <b>S</b>lots), which leverages the strengths of state-of-the-art object-centric approaches for modeling the dynamics of an environment. Our method encodes the environment’s state into symbol-like, object-cen...

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Autors principals: Vitaliy Vorobyov, Leonid Ugadiarov, Vladimir Frolov, Alexey Kovalev, Aleksandr Panov
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2026-04-01
Col·lecció:Machine Learning and Knowledge Extraction
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Accés en línia:https://www.mdpi.com/2504-4990/8/5/117
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