Robot Learning

Oracle Policy

An oracle policy is a policy with access to privileged information unavailable at deployment, such as exact object poses, contact states, or simulator ground truth, used as an idealized expert. In teacher-student training, an oracle teacher trained with privileged observations in simulation supervises a student policy that uses only deployable sensors, a recipe behind landmark results in learned quadruped locomotion.

Why it matters for physical AI

Privileged teachers turn hard partially observed learning problems into supervised ones, one of the most effective recipes for producing deployable sim-trained policies.