What Is End-To-End Pixel Learning?

Professor Alexandre Bayen discusses end-to-end pixel learning and how training deep reinforcement learning algorithms with it can improve traffic management in mixed autonomy.

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Dr. Bayen is the Liao-Cho Professor of Engineering at UC Berkeley; a Professor of both Electrical Engineering and Computer Science and Civil and Environmental Engineering. He is currently the Director of the Institute of Transportation Studies, and a Faculty Scientist in Mechanical Engineering at the Lawrence Berkeley National Laboratory. He received his Engineering Degree in applied mathematics from the Ecole Polytechnique, France, in 1998, and Masters. and Ph.D. in aeronautics and astronautics from Stanford University in 1999 and 2004, respectively. He was a Visiting Researcher at NASA Ames Research Center from 2000 to 2003. From January through December of 2004, he worked as the Research Director of the Autonomous Navigation Laboratory at the Ballistic and Aerodynamic Research Laboratory in Vernon, France, where he holds the rank of Major.

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