| A Survey on Policy Search for Robotics. MP Deisenroth, G Neumann, J Peters Foundations and Trends in Robotics 2 (1-2), 1-142, 2013 | 800 | 2013 |
| Probabilistic movement primitives A Paraschos, C Daniel, J Peters, G Neumann Advances in Neural Information Processing Systems, 2616-2624, 2013 | 325 | 2013 |
| An Algorithmic Perspective on Imitation Learning T Osa, J Pajarinen, G Neumann, JA Bagnell, P Abbeel, J Peters Foundations and Trends® in Robotics 7 (1-2), 1-179, 2018 | 212 | 2018 |
| Interaction primitives for human-robot cooperation tasks H Ben Amor, G Neumann, S Kamthe, O Kroemer, J Peters Robotics and Automation (ICRA), 2014 IEEE International Conference on, 2831-2837, 2014 | 168 | 2014 |
| Policy evaluation with temporal differences: A survey and comparison C Dann, G Neumann, J Peters The Journal of Machine Learning Research 15 (1), 809-883, 2014 | 161 | 2014 |
| Hierarchical Relative Entropy Policy Search. C Daniel, G Neumann, J Peters AISTATS, 273-281, 2012 | 131 | 2012 |
| Data-Efficient Generalization of Robot Skills with Contextual Policy Search. AG Kupcsik, MP Deisenroth, J Peters, G Neumann AAAI, 2013 | 109 | 2013 |
| Generalization of human grasping for multi-fingered robot hands HB Amor, O Kroemer, U Hillenbrand, G Neumann, J Peters 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 93 | 2012 |
| Probabilistic movement primitives for coordination of multiple human–robot collaborative tasks GJ Maeda, G Neumann, M Ewerton, R Lioutikov, O Kroemer, J Peters Autonomous Robots, 1-20, 2016 | 91 | 2016 |
| Learning robot in-hand manipulation with tactile features H van Hoof, T Hermans, G Neumann, J Peters Humanoid Robots (Humanoids), 2015 IEEE-RAS 15th International Conference on …, 2015 | 91 | 2015 |
| Learning Multiple Collaborative Tasks with a Mixture of Interaction Primitives M Ewerton, G Neumann, R Lioutikov, HB Amor, J Peters, G Maeda Proceedings of 2015 IEEE International Conference on Robotics and Automation …, 2015 | 86 | 2015 |
| Towards learning hierarchical skills for multi-phase manipulation tasks O Kroemer, C Daniel, G Neumann, H van Hoof, J Peters Robotics and Automation (ICRA), 2015 IEEE International Conference on, 1503-1510, 2015 | 85 | 2015 |
| A survey of preference-based reinforcement learning methods C Wirth, R Akrour, G Neumann, J Fürnkranz Journal of Machine Learning Research 18 (136), 1-46, 2017 | 84 | 2017 |
| Variational Inference for Policy Search in Changing Situations G Neumann International Conference on Machine Learning (ICML) 2011, 2011 | 82 | 2011 |
| Probabilistic Inference for Determining Options in Reinforcement Learning C Daniel, H van Hoof, J Peters, G Neumann | 77* | |
| Learning interaction for collaborative tasks with probabilistic movement primitives G Maeda, M Ewerton, R Lioutikov, H Ben Amor, J Peters, G Neumann Humanoid Robots (Humanoids), 2014 14th IEEE-RAS International Conference on …, 2014 | 72 | 2014 |
| Agricultural robotics: the future of robotic agriculture T Duckett, S Pearson, S Blackmore, B Grieve, WH Chen, G Cielniak, ... arXiv preprint arXiv:1806.06762, 2018 | 70 | 2018 |
| Model-based contextual policy search for data-efficient generalization of robot skills A Kupcsik, MP Deisenroth, J Peters, AP Loh, P Vadakkepat, G Neumann Artificial Intelligence, 2014 | 65 | 2014 |
| Using probabilistic movement primitives in robotics A Paraschos, C Daniel, J Peters, G Neumann Autonomous Robots, 1-23, 2017 | 61 | 2017 |
| Hierarchical relative entropy policy search C Daniel, G Neumann, O Kroemer, J Peters The Journal of Machine Learning Research 17 (1), 3190-3239, 2016 | 59 | 2016 |
Jan PetersProfessor at Technische Universität Darmstadt and Researcher at MPI for Intelligent SystemsBestätigte E-Mail-Adresse bei ias.tu-darmstadt.de
