| Reinforcement learning in robotics: A survey J Kober, JA Bagnell, J Peters The International Journal of Robotics Research 32 (11), 1238-1274, 2013 | 1709 | 2013 |
| PILCO: A model-based and data-efficient approach to policy search M Deisenroth, CE Rasmussen Proceedings of the 28th International Conference on machine learning (ICML …, 2011 | 923 | 2011 |
| Static and dynamic characteristics of McKibben pneumatic artificial muscles CP Chou, B Hannaford Proceedings of the 1994 IEEE international conference on robotics and …, 1994 | 918* | 1994 |
| Reinforcement learning of motor skills with policy gradients J Peters, S Schaal Neural networks 21 (4), 682-697, 2008 | 842 | 2008 |
| Policy search for motor primitives in robotics J Kober, JR Peters Advances in neural information processing systems, 849-856, 2009 | 813* | 2009 |
| Episodic future thinking reduces reward delay discounting through an enhancement of prefrontal-mediotemporal interactions J Peters, C Büchel Neuron 66 (1), 138-148, 2010 | 777 | 2010 |
| Natural actor-critic J Peters, S Schaal Neurocomputing 71 (7-9), 1180-1190, 2008 | 742 | 2008 |
| A survey on policy search for robotics MP Deisenroth, G Neumann, J Peters now publishers, 2013 | 721 | 2013 |
| Policy gradient methods for robotics J Peters, S Schaal 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006 | 524 | 2006 |
| Nonlinear causal discovery with additive noise models PO Hoyer, D Janzing, JM Mooij, J Peters, B Schölkopf Advances in neural information processing systems, 689-696, 2009 | 522 | 2009 |
| Relative entropy policy search. J Peters, K Mülling, Y Altun AAAI 10, 1607-1612, 2010 | 472 | 2010 |
| Deep reinforcement learning: A brief survey K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath IEEE Signal Processing Magazine 34 (6), 26-38, 2017 | 467 | 2017 |
| The neural mechanisms of inter-temporal decision-making: understanding variability J Peters, C Büchel Trends in cognitive sciences 15 (5), 227-239, 2011 | 452 | 2011 |
| Reinforcement learning for humanoid robotics J Peters, S Vijayakumar, S Schaal Proceedings of the third IEEE-RAS international conference on humanoid …, 2003 | 423 | 2003 |
| Gaussian processes for data-efficient learning in robotics and control MP Deisenroth, D Fox, CE Rasmussen IEEE transactions on pattern analysis and machine intelligence 37 (2), 408-423, 2013 | 416 | 2013 |
| Model learning for robot control: a survey D Nguyen-Tuong, J Peters Cognitive processing 12 (4), 319-340, 2011 | 397 | 2011 |
| Learning movement primitives S Schaal, J Peters, J Nakanishi, A Ijspeert Robotics research. the eleventh international symposium, 561-572, 2005 | 386 | 2005 |
| A brief survey of deep reinforcement learning K Arulkumaran, MP Deisenroth, M Brundage, AA Bharath arXiv preprint arXiv:1708.05866, 2017 | 361 | 2017 |
| Overlapping and distinct neural systems code for subjective value during intertemporal and risky decision making J Peters, C Büchel Journal of Neuroscience 29 (50), 15727-15734, 2009 | 349 | 2009 |
| Neural representations of subjective reward value J Peters, C Büchel Behavioural brain research 213 (2), 135-141, 2010 | 339 | 2010 |
Jan PetersProfessor at Technische Universität Darmstadt and Researcher at MPI for Intelligent SystemsVerified email at ias.tu-darmstadt.de
