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Jan Peters
German computer scientist

Jan Peters

The basics

Quick Facts

Intro
German computer scientist
Gender
Male
Place of birth
Hamburg, Germany
Age
47 years
Education
University of Southern California,
Doctor of Philosophy
(2001-2007)
FernUniversität Hagen,
Diplom
Technical University of Munich,
Diplom
Awards
IEEE Fellow
 
The details (from wikipedia)

Biography

Jan Peters (born on August 14, 1976 in Hamburg, Germany) is a German computer scientist. He is Professor of Intelligent Autonomous Systems at Department of Computer Science of the Technische Universität Darmstadt and Head of the Robot Learning Group at the Max Planck Institute for Intelligent Systems.

Peters is renowned for his research in machine learning and robotics.

Life

Jan Peters graduated from the University of Hagen in 2000 with a diplom in computer science and from Technical University of Munich in 2001 with a diplom in electrical engineering. From 2000 to 2001, he spent two semesters as visiting student at the National University of Singapore. He then studied at the University of Southern California where he earned a Master of Science degree in Computer Science and a Master of Science degree in Aerospace and Mechanical Engineering. He received his Ph.D. in Computer Science from the University of Southern California in 2007. Since 2011 he has been Head of the Intelligent Autonomous Systems Institute at the Technische Universität Darmstadt.

In 2008, Nicholas Roy, Russ Tedrake, Jun Morimoto and Jan Peters founded the IEEE Robotics and Automation Society's Technical Committee on Robot Learning.

Awards

For his contributions, he has received the Robotics & Automation Early Career Award, the highest ranked early career award of the Institute of Electrical and Electronics Engineers, and the Young Investigator Award of the International Neural Network Society. In addition, he received an ERC Starting Grant in 2014 as well as numerous best paper awards. He was appointed Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2019 "for contributions to robot learning of dexterous motor skills".

Publications

Peters J., Vijayakumar S., Schaal S. (2005) Natural Actor-Critic. In: Gama J., Camacho R., Brazdil P.B., Jorge A.M., Torgo L. (eds) Machine Learning: ECML 2005. ECML 2005. Lecture Notes in Computer Science, vol 3720. Springer, Berlin, Heidelberg ISBN 978-3-540-29243-2, 978-3-540-31692-3

The contents of this page are sourced from Wikipedia article on 12 Jul 2020. The contents are available under the CC BY-SA 4.0 license.
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