On one hand robotic agents can convert complex natural language commands into step-wise instructions. On other hand, accurate and reliable execution of sensorimotor skills (e.g., locomotion, opening doors, object manipulation, etc.) remains elusive. I will discuss a framework for learning new, complex, and generalizable sensorimotor skills in a manner that is easily scale to many tasks.

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