Apprenticeship learning, or apprenticeship via inverse reinforcement learning (AIRP), is a concept in the field of Artificial Intelligence and Machine learning, developed by Pieter Abbeel, Assistant Professor in Berkeley's EECS department, and Andrew Ng, Associate Professor in Stanford University's Computer Science Department.
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