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I. Laradji

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#artificial intelligence Preprint Sep 2026

Continual Enterprise World Model Discovery in Dynamic Systems

This work studies continual enterprise world model discovery, where an agent starts without knowledge of these business rules and discovers them by interacting with records and observing the outcomes, and builds a world model, which it revises as the rules change.

Shambhavi Mishra, David Vázquez, Perouz Taslakian et al. · 0 citations

Are Online Skill and Memory Modules Always Worth Their Tokens? A Budget-Constrained Study of Web Agents

The results suggest that skills and workflow memory can be useful in specific domains, but their apparent gains often vanish against a budget-matched actor, and that run-to-run variance materially affects outcomes and should be reported as a core evaluation criterion for online web agents.

Sina Hajimiri, Masih Aminbeidokhti, J. Dolz et al. · 1 citation

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