Jan Peters
Jan Peters
Professor at Technische Universität Darmstadt and Researcher at MPI for Intelligent Systems
Verified email at ias.tu-darmstadt.de - Homepage
TitleCited byYear
Reinforcement learning in robotics: A survey
J Kober, JA Bagnell, J Peters
The International Journal of Robotics Research 32 (11), 1238-1274, 2013
12402013
Natural actor-critic
J Peters, S Schaal
Neurocomputing 71 (7-9), 1180-1190, 2008
8452008
Reinforcement learning of motor skills with policy gradients
J Peters, S Schaal
Neural networks 21 (4), 682-697, 2008
7012008
Policy search for motor primitives in robotics
J Kober, J Peters
Machine Learning 84 (1), 171–203, 2011
5712011
A survey on policy search for robotics
MP Deisenroth, G Neumann, J Peters
Foundations and Trends® in Robotics 2 (1–2), 1-142, 2013
5642013
Policy gradient methods for robotics
J Peters, S Schaal
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots …, 2006
4592006
Reinforcement learning for humanoid robotics
J Peters, S Vijayakumar, S Schaal
Proceedings of the 3rd IEEE-RAS International Conference on Humanoid Robots …, 2003
3952003
Relative entropy policy search
J Peters, K Mülling, Y Altun
Proceedings of the Twenty-fourth National Conference on Artificial …, 2010
3912010
Learning movement primitives
S Schaal, J Peters, J Nakanishi, A Ijspeert
Proceedings of the International Symposium on Robotics Research (ISRR), 561-572, 2005
3542005
Model learning for robot control: a survey
D Nguyen-Tuong, J Peters
Cognitive processing 12 (4), 319-340, 2011
3272011
Operational space control: A theoretical and empirical comparison
J Nakanishi, R Cory, M Mistry, J Peters, S Schaal
The International Journal of Robotics Research 27 (6), 737-757, 2008
2932008
Learning to select and generalize striking movements in robot table tennis
K Mülling, J Kober, O Kroemer, J Peters
The International Journal of Robotics Research 32 (3), 263-279, 2013
2732013
Probabilistic movement primitives
A Paraschos, C Daniel, JR Peters, G Neumann
Advances in neural information processing systems, 2616-2624, 2013
2372013
Learning inverse dynamics: a comparison
D Nguyen-Tuong, J Peters, M Seeger, B Schölkopf
European Symposium on Artificial Neural Networks, 2008
221*2008
Gaussian process dynamic programming
MP Deisenroth, CE Rasmussen, J Peters
Neurocomputing 72 (7-9), 1508-1524, 2009
2192009
Model learning with local gaussian process regression
D Nguyen-Tuong, M Seeger, J Peters
Advanced Robotics 23 (15), 2015-2034, 2009
2172009
Natural evolution strategies
D Wierstra, T Schaul, J Peters, J Schmidhuber
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008
2122008
Learning motor primitives for robotics
J Kober, J Peters
2009 IEEE International Conference on Robotics and Automation, 2112-2118, 2009
1942009
Relative entropy inverse reinforcement learning
A Boularias, J Kober, J Peters
14th International Conference on Artificial Intelligence and Statistics …, 2011
1912011
Parameter-exploring policy gradients
F Sehnke, C Osendorfer, T Rückstieß, A Graves, J Peters, J Schmidhuber
Neural Networks 23 (4), 551-559, 2010
1762010
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Articles 1–20