AINeutralarXiv – CS AI · 7h ago6/10
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Implicit Drifting Policy: One-Step Action Generation via Conditional Expert Geometry
Researchers introduce Implicit Drifting Policy (IDP), a one-step imitation learning framework that enables faster robot control by extracting conditional expert geometry from demonstration data rather than explicitly estimating drift fields. IDP maintains adherence to valid action manifolds while achieving competitive performance with existing methods across manipulation tasks.