Machine Learning and Optimization for Robotics Rogers 226 Thursday, October 30, 2014 - 11:00am to 12:00pm
Pieter Abbeel Associate Professor Department of Electrical Engineering and Computer Science UC Berkeley Abstract: Apprenticeship learning, belief space planning, guided policy search -- three hot topics in robotics will be discussed in a seminar from Dr. Pieter Abbeel, Associate Professor, Department of Electrical Engineering and Computer Science, UC Berkeley. Biography: Dr. Abbeel received his Ph.D. degree in Computer Science from Stanford University in 2008 and is currently on the faculty at UC Berkeley in the Department of Electrical Engineering and Computer Sciences. He has won various awards, including best paper awards at ICML and ICRA, the Sloan Fellowship, the AFOSR-YIP, the ONR-YIP, the DARPA-YFA, the MIT TR35, and the IEEE Robotics and Automation Society Early Career Award. His current research focuses on optimization and machine learning for robotics. He is also one of the developers of Gradescope, a web application that allows instructors to grade 2x faster and students to receive more transparent feedback while not changing anything about existing homework and exam formats. _______________________________________________ Colloquium mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/colloquium
