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About this paper
Zhihui Zhu
The paper presents a framework for understanding world models as learned representations useful for prediction and decisions. It connects action selection and future prediction as conditional predictions over actions and observations, allowing shared or separate models. Passive video can teach predictive structure, while action-labelled trajectories ground predictions in actions. The framework is conceptual, not an experimental demonstration of generalist agents.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.