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Hany Abdulsamad
Hany Abdulsamad
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Titel
Zitiert von
Zitiert von
Jahr
Model-free trajectory optimization for reinforcement learning
R Akrour, G Neumann, H Abdulsamad, A Abdolmaleki
International Conference on Machine Learning, 2961-2970, 2016
432016
Self-paced contextual reinforcement learning
P Klink, H Abdulsamad, B Belousov, J Peters
Conference on Robot Learning, 513-529, 2020
302020
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
222018
Stochastic optimal control as approximate input inference
J Watson, H Abdulsamad, J Peters
Conference on Robot Learning, 697-716, 2020
182020
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
Receding horizon curiosity
M Schultheis, B Belousov, H Abdulsamad, J Peters
Conference on robot learning, 1278-1288, 2020
92020
A Nonparametric Off-Policy Policy Gradient
S Tosatto, J Carvalho, H Abdulsamad, J Peters
International Conference on Artificial Intelligence and Statistics, 167-177, 2020
82020
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
82019
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
J. Mach. Learn. Res. 22, 182:1-182:52, 2021
72021
Reinforcement learning algorithms: analysis and applications
B Belousov, H Abdulsamad, P Klink, S Parisi, J Peters
Springer, 2021
62021
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
52020
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
42022
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
42017
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
42016
Stochastic control through approximate bayesian input inference
J Watson, H Abdulsamad, R Findeisen, J Peters
arXiv preprint arXiv:2105.07693, 2021
32021
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
32021
Efficient Stochastic Optimal Control through Approximate Bayesian Input Inference
J Watson, H Abdulsamad, R Findeisen, J Peters
arXiv e-prints, 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
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
12021
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
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