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Florent Tariolle

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#machine learning Preprint Sep 2026

DashVMC: Real-Time Discrete World Model Control in Geometry Dash

World-model agents are usually evaluated in simulators that can wait for the policy; live games impose the opposite constraint, requiring capture, prediction, and action before the next frame. We present DashVMC, which learns a compact, action-conditioned world model from approximately two hours of recorded Geometry Da...

Florent Tariolle, Florian Yger · 0 citations

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