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Heejeong Nam

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#artificial intelligence Preprint Oct 2026

AnyGoal: On World Model Generalization Beyond Expert Rollouts

The goal of a world model is to capture the dynamics of an environment. This has the great appeal that it allows agents to plan and simulate a course of actions with the help of a world model. For these uses to be reliable, however, the learned dynamics must behave well beyond the specific state-action combinations obs...

Heejeong Nam, Divyat Mahajan, Quentin Le Lidec et al. · 0 citations
Preprint Oct 2026

LaLa-World: Scaling Latent World Models with Natural Language Actions

This paper shows that JEPA-style latent world models (LWMs) can learn across diverse domains and data sources by adopting the language-conditioned interface of video generation models. We establish this approach as an effective and efficient basis for planning with imagination and downstream policy fine-tuning. To this...

Jun-Ha Song, Geonmo Gu, Jeongeun Park et al. · 0 citations

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