Search results

Journal Article (35)

21.
Journal Article
Morimura, T.; Uchibe, E.; Yoshimoto, J.; Peters, J.; Doya, K.: Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning. Neural computation 22 (2), pp. 342 - 376 (2010)
22.
Journal Article
Hachiya, H.; Akiyama, T.; Sugiyama, M.; Peters, J.: Adaptive Importance Sampling for Value Function Approximation in Off-policy Reinforcement Learning. Neural networks 22 (10), pp. 1399 - 1410 (2009)
23.
Journal Article
Nguyen-Tuong, D.; Seeger, M.; Peters, J.: Model Learning with Local Gaussian Process Regression. Advanced Robotics 23 (15), pp. 2015 - 2034 (2009)
24.
Journal Article
Peters, J.; Morimoto, J.; Tedrake, R.; Roy, N.: Robot Learning. IEEE Robotics and Automation Magazine 16 (3), pp. 19 - 20 (2009)
25.
Journal Article
Peters, J.: Guest editorial: Special issue on robot learning, Part B. Autonomous Robots 27 (2), pp. 91 - 92 (2009)
26.
Journal Article
Peters, J.; Kober, J.: Policy Search for Motor Primitives. KI - Zeitschrift Künstliche Intelligenz 23 (3), pp. 38 - 40 (2009)
27.
Journal Article
Peters, J.; NG, A.: Guest editorial: Special issue on robot learning, Part A. Autonomous Robots 27 (1), pp. 1 - 2 (2009)
28.
Journal Article
Deisenroth, M.; Rasmussen, C.; Peters, J.: Gaussian Process Dynamic Programming. Neurocomputing 72 (7-9), pp. 1508 - 1524 (2009)
29.
Journal Article
Peters, J.: Machine Learning for Motor Skills in Robotics. KI - Künstliche Intelligenz 2008 (4), pp. 41 - 43 (2008)
30.
Journal Article
Nakanishi, J.; Cory, R.; Mistry, M.; Peters, J.; Schaal, S.: Operational Space Control: A Theoretical and Empirical Comparison. The International Journal of Robotics Research 27 (6), pp. 737 - 757 (2008)
31.
Journal Article
Peters, J.; Schaal, S.: Reinforcement Learning of Motor Skills with Policy Gradients. Neural networks 21 (4), pp. 682 - 697 (2008)
32.
Journal Article
Steinke, F.; Hein, M.; Peters, J.; Schölkopf, B.: Manifold-valued Thin-plate Splines with Applications in Computer Graphics. Computer Graphics Forum 27 (2), pp. 437 - 448 (2008)
33.
Journal Article
Peters, J.; Schaal, S.: Natural Actor-Critic. Neurocomputing 71 (7-9), pp. 1180 - 1190 (2008)
34.
Journal Article
Peters, J.; Schaal, S.: Learning to Control in Operational Space. The International Journal of Robotics Research 27 (2), pp. 197 - 212 (2008)
35.
Journal Article
Peters, J.; Mistry, M.; Udwadia, F.; Nakanishi, J.; Schaal, S.: A unifying framework for robot control with redundant DOFs. Autonomous Robots 24 (1), pp. 1 - 12 (2007)

Book (2)

36.
Book
Kober, J.; Peters, J.: Learning Motor Skills: From Algorithms to Robot Experiments. Springer International Publishing, Cham, Switzerland (2014), 190 pp.
37.
Book
Sigaud, O.; Peters, J. (Eds.): From Motor Learning to Interaction Learning in Robots. Springer, Berlin, Germany (2010), 538 pp.

Book Chapter (7)

38.
Book Chapter
Sigaud, O.; Peters, J.: Robot Learning. In: Encyclopedia of the Sciences of Learning, pp. 2869 - 2871 (Ed. Seel, N.). Springer, Berlin, Germany (2012)
39.
Book Chapter
Peters, J.; Tedrake, R.; Roy, N.; Morimoto, J.: Robot Learning. In: Encyclopedia of Machine Learning, 2010 edition Ed., pp. 865 - 869 (Eds. Sammut, C.; Webb, G.). Springer, New York, NY, USA (2011)
40.
Book Chapter
Peters, J.; Bagnell, J.: Policy Gradient Methods. In: Encyclopedia of Machine Learning, pp. 774 - 776 (Eds. Sammut, C.; Webb, G.). Springer, Berlin, Germany (2010)
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