A Survey on Policy Search for Robotics. MP Deisenroth, G Neumann, J Peters Foundations and Trends in Robotics 2 (1-2), 1-142, 2013 | 1239 | 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 | 871 | 2018 |
Probabilistic movement primitives A Paraschos, C Daniel, JR Peters, G Neumann Advances in neural information processing systems 26, 2013 | 679 | 2013 |
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 | 373 | 2017 |
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 | 331 | 2018 |
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 | 286 | 2014 |
Hierarchical relative entropy policy search C Daniel, G Neumann, O Kroemer, J Peters The Journal of Machine Learning Research 17 (1), 3190-3239, 2016 | 281 | 2016 |
Deep Reinforcement Learning for Swarm Systems M Hüttenrauch, A Šošić, G Neumann Journal of Machine Learning Research (JMLR), 2019 | 253 | 2019 |
Interaction primitives for human-robot cooperation tasks HB Amor, G Neumann, S Kamthe, O Kroemer, J Peters 2014 IEEE international conference on robotics and automation (ICRA), 2831-2837, 2014 | 253 | 2014 |
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 | 217 | 2016 |
Using probabilistic movement primitives in robotics A Paraschos, C Daniel, J Peters, G Neumann Autonomous Robots, 1-23, 2017 | 216 | 2017 |
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 | 161 | 2015 |
Learning Complex Swarm Behaviors by Exploiting Local Communication Protocols with Deep Reinforcement Learning M Hüttenrauch, A Šošić, G Neumann arXiv preprint arXiv:1709.07224, 2017 | 150* | 2017 |
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 | 145 | 2015 |
Data-Efficient Generalization of Robot Skills with Contextual Policy Search. AG Kupcsik, MP Deisenroth, J Peters, G Neumann AAAI, 2013 | 145 | 2013 |
Guided Deep Reinforcement Learning for Swarm Systems M Hüttenrauch, A Šošić, G Neumann arXiv preprint arXiv:1709.06011, 2017 | 143 | 2017 |
Probabilistic Inference for Determining Options in Reinforcement Learning C Daniel, H van Hoof, J Peters, G Neumann Machine Learning Journal, 2016 | 138 | 2016 |
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 | 134 | 2015 |
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 | 119 | 2012 |
Variational Inference for Policy Search in Changing Situations G Neumann International Conference on Machine Learning (ICML) 2011, 2011 | 117 | 2011 |