Privileged Information

State information available during training (in simulation) but not at deployment time. Examples: exact object poses, contact forces, friction coefficients. Teacher policies trained with privileged information achieve high performance; they are then distilled into student policies that use only deployment-available inputs (images, proprioception). This asymmetric training paradigm is standard in sim-to-real.

Robot LearningSim-to-Real

Explore More Terms

Browse the full robotics glossary with 1,000+ terms.

Back to Glossary