Jan Peters
homepage:http://www.ias.informatik.tu-darmstadt.de/Member/JanPeters
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Description

Jan Peters is a full professor (W3) for Intelligent Autonomous Systems at the Computer Science Department of the Technische Universitaet Darmstadt and at the same time an adjunct senior research scientist at the Max-Planck Institute for Intelligent Systems, where he heads the interdepartmental Robot Learning Group between the departments of Bernhard Schoelkopf and Stefan Schaal.

Previously, Jan Peters has been a full-time Senior Research Scientist and Robot Learning Group Leader in the department of Bernhard Schoelkopf the Max-Planck Institute of Biological Cybernetics since 2007. Even earlier, he completed a Ph.D. at the Department of Computer Science at the University of Southern California (USC) in Los Angeles. There, Jan has been working with Stefan Schaal, Sethu Vijayakumar (now at U. Edinburgh, UK), and Firdaus Udwadia (Department of Mechanical Engineering). Chris Atkeson (Robotics Institute at CMU) and Gaurav Sukhatme also guided him to his thesis. In 2011, Jan Peters' PhD Thesis received the Dick Volz Best 2007 US PhD Thesis Runner Up Award based on thesis quality and thesis impact. Jan remains affiliated with the CLMC Lab as an invited researcher.


Lectures:

tutorial
flag Policy Search: Methods and Applications
as author at  32nd International Conference on Machine Learning (ICML), Lille 2015,
together with: Gerhard Neumann,
4171 views
  tutorial
flag Robot skill Learning
as author at  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Barcelona 2010,
6054 views
invited talk
flag A Road Map for Motor Skill Learning
as author at  Workshops,
4900 views
  panel
flag Panel Discussion
as author at  International Workshop on Regression in Robotics - Approaches and Applications, Seattle 2009,
together with: Christian Plagemann, Dieter Fox, Andreas Krause, Raia Hadsell, Pieter Abbeel, Nicholas Roy, Jo-Anne Ting, Rajesh P. N. Rao,
4646 views
lecture
flag Reinforcement Learning by Reward-Weighted Regression
as author at  International Workshop on Regression in Robotics - Approaches and Applications, Seattle 2009,
4449 views
  invited talk
flag Trade-Offs in Robot Skill Learning
as author at  Multi-Trade-offs in Machine Learning,
3034 views