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Hany Abdulsamad
Hany Abdulsamad
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Title
Cited by
Cited by
Year
Model-free trajectory optimization for reinforcement learning
R Akrour, G Neumann, H Abdulsamad, A Abdolmaleki
International Conference on Machine Learning, 2961-2970, 2016
452016
Self-paced contextual reinforcement learning
P Klink, H Abdulsamad, B Belousov, J Peters
Conference on Robot Learning, 513-529, 2020
392020
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
262018
Stochastic optimal control as approximate input inference
J Watson, H Abdulsamad, J Peters
Conference on Robot Learning, 697-716, 2020
192020
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
162015
Reinforcement learning algorithms: analysis and applications
B Belousov, H Abdulsamad, P Klink, S Parisi, J Peters
Springer, 2021
132021
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
122022
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
122021
Receding horizon curiosity
M Schultheis, B Belousov, H Abdulsamad, J Peters
Conference on robot learning, 1278-1288, 2020
122020
A nonparametric off-policy policy gradient
S Tosatto, J Carvalho, H Abdulsamad, J Peters
International Conference on Artificial Intelligence and Statistics, 167-177, 2020
92020
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
72019
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
72016
State-regularized policy search for linearized dynamical systems
H Abdulsamad, O Arenz, J Peters, G Neumann
Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017
52017
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
42021
Stochastic control through approximate bayesian input inference
J Watson, H Abdulsamad, R Findeisen, J Peters
arXiv preprint arXiv:2105.07693, 2021
42021
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
42020
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
32021
Active inference for robotic manipulation
T Schneider, B Belousov, H Abdulsamad, J Peters
arXiv preprint arXiv:2206.10313, 2022
22022
Efficient stochastic optimal control through approximate Bayesian input inference
J Watson, H Abdulsamad, R Findeisen, J Peters
arXiv preprint arXiv:2105.07693, 2021
22021
Playing tetherball with compliant robots
H Abdulsamad, T Buchholz, T Croon, M El Khoury
TU Darmstadt, Tech. Rep., 2014
22014
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Articles 1–20