Pieter Abbeel

Associate Professor
OpenAI / UC Berkeley

Pieter Abbeel (Associate Professor, UC Berkeley EECS) works in machine learning and robotics, in particular research on making robots learn by watching people (apprenticeship learning) and how to make robots learn through their own trial and error (reinforcement learning). His robots have learned: advanced helicopter aerobatics, knot-tying, basic assembly, and organizing laundry. His awards include best paper awards at ICML and ICRA, Young Investigator Awards from AFOSR, ONR, Darpa and NSF, the Sloan Fellowship, the MIT TR35, the IEEE Robotics and Automation Society Early Career Award, and the Dick Volz Best U.S. Ph.D. Thesis in Robotics and Automation Award.

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