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Context-Conditioned Policy

Robot LearningPolicy

A policy that receives a context vector encoding task-specific information (current task ID, goal description, demonstration embedding) alongside observations. Context conditioning enables a single policy to handle multiple tasks by switching behavior based on context. Task encoders (from language, goal images, or few-shot demos) provide the context vector.

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