| 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 | 50 | 2022 |
| Model-free trajectory optimization for reinforcement learning R Akrour, G Neumann, H Abdulsamad, A Abdolmaleki International Conference on Machine Learning, 2961-2970, 2016 | 49 | 2016 |
| Self-paced contextual reinforcement learning P Klink, H Abdulsamad, B Belousov, J Peters Conference on Robot Learning, 513-529, 2020 | 48 | 2020 |
| Model-free trajectory-based policy optimization with monotonic improvement R Akrour, A Abdolmaleki, H Abdulsamad, J Peters, G Neumann The Journal of Machine Learning Research 19 (1), 565-589, 2018 | 30 | 2018 |
| Stochastic optimal control as approximate input inference J Watson, H Abdulsamad, J Peters Conference on Robot Learning, 697-716, 2020 | 25 | 2020 |
| Reinforcement learning algorithms: analysis and applications B Belousov, H Abdulsamad, P Klink, S Parisi, J Peters Springer, 2021 | 21 | 2021 |
| A probabilistic interpretation of self-paced learning with applications to reinforcement learning P Klink, H Abdulsamad, B Belousov, C D'Eramo, J Peters, J Pajarinen The Journal of Machine Learning Research 22 (1), 8201-8252, 2021 | 21 | 2021 |
| Receding horizon curiosity M Schultheis, B Belousov, H Abdulsamad, J Peters Conference on robot learning, 1278-1288, 2020 | 19 | 2020 |
| Reinforcement learning vs human programming in tetherball robot games S Parisi, H Abdulsamad, A Paraschos, C Daniel, J Peters 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 18 | 2015 |
| A nonparametric off-policy policy gradient S Tosatto, J Carvalho, H Abdulsamad, J Peters International Conference on Artificial Intelligence and Statistics, 167-177, 2020 | 13 | 2020 |
| Chance-constrained trajectory optimization for non-linear systems with unknown stochastic dynamics O Celik, H Abdulsamad, J Peters 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 9 | 2019 |
| Efficient stochastic optimal control through approximate Bayesian input inference J Watson, H Abdulsamad, R Findeisen, J Peters arXiv preprint arXiv:2105.07693, 2021 | 8* | 2021 |
| Optimal control and inverse optimal control by distribution matching O Arenz, H Abdulsamad, G Neumann 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 8 | 2016 |
| A variational infinite mixture for probabilistic inverse dynamics learning H Abdulsamad, P Nickl, P Klink, J Peters 2021 IEEE International Conference on Robotics and Automation (ICRA), 4216-4222, 2021 | 6 | 2021 |
| Hierarchical decomposition of nonlinear dynamics and control for system identification and policy distillation H Abdulsamad, J Peters Learning for Dynamics and Control, 904-914, 2020 | 6 | 2020 |
| Active inference for robotic manipulation T Schneider, B Belousov, H Abdulsamad, J Peters arXiv preprint arXiv:2206.10313, 2022 | 5 | 2022 |
| State-regularized policy search for linearized dynamical systems H Abdulsamad, O Arenz, J Peters, G Neumann Proceedings of the International Conference on Automated Planning and …, 2017 | 5 | 2017 |
| Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative Entropy Trust-Regions H Abdulsamad, T Dorau, B Belousov, JJ Zhu, J Peters arXiv preprint arXiv:2103.15388, 2021 | 4 | 2021 |
| Playing tetherball with compliant robots H Abdulsamad, T Buchholz, T Croon, M El Khoury TU Darmstadt, Tech. Rep., 2014 | 2 | 2014 |
| Belief space model predictive control for approximately optimal system identification B Belousov, H Abdulsamad, M Schultheis, J Peters Tech. Rep., 2019.[Online]. Available: https://www. ias. informatik. tu …, 0 | 2 | |
Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtVerified email at ias.tu-darmstadt.de
