Search results

Talk (20)

161.
Talk
Peters, J.; Schaal, S.: Learning Control and Planning from the View of Control Theory and Imitation. NIPS 2003 Workshop: Planning for the Real World: The promises and challenges of dealing with uncertainty, Whistler, BC, Canada (2003)
162.
Talk
Schaal, S.; Peters, J.: Recurrent neural networks from learning attractor dynamics. NIPS 2003 Workshop on RNNaissance: Recurrent Neural Networks, Whistler, BC, Canada (2003)

Poster (8)

163.
Poster
Lampert, C.; Peters, J.: A High-Speed Object Tracker from Off-the-Shelf Components. First IEEE Workshop on Computer Vision for Humanoid Robots in Real Environments at ICCV (CV4HRRE 2009), Kyoto, Japan (2009)
164.
Poster
Kober, J.; Peters, J.: Reinforcement Learning of Perceptual Coupling for Motor Primitives. 8th European Workshop on Reinforcement Learning for Robotics (EWRL 2008), Villeneuve d’Ascq, France (2008)
165.
Poster
Theodorou, E.; Peters, J.; Schaal, S.: Reinforcement learning for optimal control of arm movements. 37th Annual Meeting of the Society for Neuroscience (Neuroscience 2007), San Diego, CA, USA (2007)
166.
Poster
Peters, J.; Theodoru, E.; Schaal, S.: Policy gradient methods for machine learning. 14th INFORMS Applied Probability Conference (INFORMS 2007), Eindhoven, The Netherlands (2007)
167.
Poster
Peters, J.; Schaal, S.: Learning Motor Primitives with Reinforcement Learning. AAAI Fall Symposium on Real-Life Reinforcement Learning 2004, Arlington, VA, USA (2004)
168.
Poster
Peters, J.; Schaal, S.: Learning Motor Primitives with Reinforcement Learning. 11th Joint Symposium on Neural Computation (JSNC 2004), Los Angeles, CA, USA (2004)
169.
Poster
Mohajerian, P.; Peters, J.; Ijspeert, A.; Schaal, S.: A unifying computational framework for optimization and dynamic systemsapproaches to motor control. 10th Joint Symposium on Neural Computation (JSNC 2003), Irvine, CA, USA (2003)
170.
Poster
Mohajerian, P.; Peters, J.; Ijspeert, A.; Schaal, S.: A Unifying Computational Framework for Optimization and Dynamic Systems Approaches to Motor Control. 13th Annual Neural Control of Movement Meeting 2003, Santa Barbara, CA, USA (2003)

Thesis - PhD (2)

171.
Thesis - PhD
Peters, J.: Machine Learning for Robotics: Learning Methods for Robot Motor Skills. Dissertation, 107 pp., University of Southern California, Los Angeles, CA, USA (2008)
172.
Thesis - PhD
Peters, J.: Machine Learning of Motor Skills for Robotics. Dissertation, 129 pp., University of Southern California, Los Angeles, CA, USA (2007)

Thesis - Diploma (1)

173.
Thesis - Diploma
Peters, J.: Cerebellar Control of Robot Arms. Diploma, Technische Univeristät München, München, Germany (2001)

Report (1)

174.
Report
Seldin, Y.; Laciolette, F.; Shaw-Taylor, J.; Peters, J.; Auer, P.: PAC-Bayesian Analysis of Martingales and Multiarmed Bandits. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2011), 13 pp.

Book Review (1)

175.
Book Review
Peters, J.: Computational Intelligence: Principles, Techniques and Applications by Amit Konar. The Computer Journal 50 (6), p. 758 (2007)
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