Robust Reinforcement Learning: A Review of Foundations and Recent Advances J Moos, K Hansel, H Abdulsamad, S Stark, D Clever, J Peters Machine Learning and Knowledge Extraction 4 (1), 276-315, 2022 | 150 | 2022 |
Model-Based Quality-Diversity Search for Efficient Robot Learning L Keller, D Tanneberg, S Stark, J Peters 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 26 | 2020 |
Experience Reuse with Probabilistic Movement Primitives S Stark, J Peters, E Rueckert Proceedings of the IEEE/RSJ International Conference on Intelligent Robots …, 2019 | 13 | 2019 |
Simulation of the underactuated Sake Robotics Gripper in V-REP SK Thiem, S Stark, D Tanneberg, J Peters, E Rueckert 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), 2017 | 6 | 2017 |
Local Online Motor Babbling: Learning Motor Abundance of A Musculoskeletal Robot Arm Z Liu, A Hitzmann, S Ikemoto, S Stark, J Peters, K Hosoda Proceedings of the IEEE/RSJ International Conference on Intelligent Robots …, 2019 | 4 | 2019 |
A comparison of distance measures for learning nonparametric motor skill libraries S Stark, J Peters, E Rueckert 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids …, 2017 | 3 | 2017 |
Open-Ended Learning of Grasp Strategies using Intrinsically Motivated Self-Supervision Q Delfosse, S Stark, D Tanneberg, VG Santucci, J Peters Proceedings of the IEEE/RSJ International Conference on Intelligent Robots …, 2019 | 1 | 2019 |
Learning walk and trot from the same objective using different types of exploration Z Liu, K Ploeger, S Stark, E Rueckert, J Peters arXiv preprint arXiv:1904.12336, 2019 | | 2019 |