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Journal Article (35)

1.
Journal Article
Schürmann, T.; Mohler, B.; Peters, J.; Beckerle, P.: How cognitive models of human body experience might push robotics. Frontiers in Neurorobotics 13, 14, pp. 1 - 6 (2019)
2.
Journal Article
Mülling, K.; Boularias, A.; Mohler, B. J.; Schölkopf, B.; Peters, J.: Learning Strategies in Table Tennis using Inverse Reinforcement Learning. Biological Cybernetics 108 (5), pp. 603 - 619 (2014)
3.
Journal Article
Kober, J.; Wilhelm, A.; Oztop, E.; Peters, J.: Reinforcement learning to adjust parametrized motor primitives to new situations. Autonomous Robots 33 (4), pp. 361 - 379 (2012)
4.
Journal Article
Nguyen-Tuong, D.; Peters, J.: Online Kernel-based Learning for Task-Space Tracking Robot Control. IEEE Transactions on Neural Networks and Learning Systems 23 (9), pp. 1417 - 1425 (2012)
5.
Journal Article
Lampert, C.; Peters, J.: Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. Journal of Real-Time Image Processing 7 (1), pp. 31 - 41 (2012)
6.
Journal Article
Hachiya, H.; Peters, J.; Sugiyama, M.: Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning. Neural computation 23 (11), pp. 2798 - 2832 (2011)
7.
Journal Article
Mülling, K.; Kober, J.; Peters, J.: A biomimetic approach to robot table tennis. Adaptive Behavior 19 (5), pp. 359 - 376 (2011)
8.
Journal Article
Kober, J.; Peters, J.: Policy Search for Motor Primitives in Robotics. Machine Learning 84 (1-2), pp. 171 - 203 (2011)
9.
Journal Article
Gomez Rodriguez, M.; Peters, J.; Hill, J.; Schölkopf, B.; Gharabaghi, A.; Grosse-Wentrup, M.: Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery. Journal of Neural Engineering 8 (3), 036005, pp. 1 - 12 (2011)
10.
Journal Article
Kroemer, O.; Lampert, C.; Peters, J.: Learning Dynamic Tactile Sensing with Robust Vision-based Training. IEEE Transactions on Robotics 27 (3), pp. 545 - 557 (2011)
11.
Journal Article
Nguyen-Tuong, D.; Peters, J.: Incremental online sparsification for model learning in real-time robot control. Neurocomputing 74 (11), pp. 1859 - 1867 (2011)
12.
Journal Article
Nguyen-Tuong, D.; Peters, J.: Model learning for robot control: a survey. Cognitive Processing 12 (4), pp. 319 - 340 (2011)
13.
Journal Article
Detry, R.; Kraft, D.; Krömer, O.; Peters, J.; Krüger, N.; Piater, J.: Learning grasp affordance densities. Paladyn: Journal of Behavioral Robotics 2 (1), pp. 1 - 17 (2011)
14.
Journal Article
Piater, J.; Jodogne, S.; Detry, R.; Kraft, R.; Krüger, N.; Kroemer, O.; Peters, J.: Learning Visual Representations for Perception-Action Systems. The International Journal of Robotics Research 30 (3), pp. 294 - 307 (2011)
15.
Journal Article
Peters, J.; Kober, J.; Schaal, S.: Algorithmen zum Automatischen Erlernen von Motorfähigkeiten. At-Automatisierungstechnik 58 (12), pp. 688 - 694 (2010)
16.
Journal Article
Peters, J.: Policy gradient methods. Scholarpedia 5 (11), p. 3698 (2010)
17.
Journal Article
Wierstra, D.; Förster, A.; Peters, J.; Schmidhuber, J.: Recurrent Policy Gradients. Logic Journal of the IGPL 18 (5), pp. 620 - 634 (2010)
18.
Journal Article
Kroemer, O.; Detry, R.; Piater, J.; Peters, J.: Combining active learning and reactive control for robot grasping. Robotics and Autonomous Systems 58 (9), pp. 1105 - 1116 (2010)
19.
Journal Article
Kober, J.; Peters, J.: Imitation and Reinforcement Learning. IEEE Robotics and Automation Magazine 17 (2), pp. 55 - 62 (2010)
20.
Journal Article
Sehnke, F.; Osendorfer, C.; Rückstiess, T.; Graves, A.; Peters, J.; Schmidhuber, J.: Parameter-exploring policy gradients. Neural networks 21 (4), pp. 551 - 559 (2010)
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