Riad Akrour
Riad Akrour
IAS - TU Darmstadt
Verified email at robot-learning.de - Homepage
Title
Cited by
Cited by
Year
April: Active preference learning-based reinforcement learning
R Akrour, M Schoenauer, M Sebag
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
932012
Preference-based policy learning
R Akrour, M Schoenauer, M Sebag
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
902011
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
832017
Programming by feedback
R Akrour, M Schoenauer, M Sebag, JC Souplet
International Conference on Machine Learning 32, 1503-1511, 2014
442014
Model-free trajectory optimization for reinforcement learning
R Akrour, G Neumann, H Abdulsamad, A Abdolmaleki
International Conference on Machine Learning, 2961-2970, 2016
312016
Interactive robot education
R Akrour, M Schoenauer, M Sebag
ECML/PKDD Workshop on Reinforcement Learning with Generalized Feedback …, 2013
152013
Sample and feedback efficient hierarchical reinforcement learning from human preferences
R Pinsler, R Akrour, T Osa, J Peters, G Neumann
2018 IEEE International Conference on Robotics and Automation (ICRA), 596-601, 2018
142018
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
122018
Local Bayesian optimization of motor skills
R Akrour, D Sorokin, J Peters, G Neumann
International Conference on Machine Learning, 41-50, 2017
112017
Regularizing reinforcement learning with state abstraction
R Akrour, F Veiga, J Peters, G Neumann
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
92018
Compatible natural gradient policy search
J Pajarinen, HL Thai, R Akrour, J Peters, G Neumann
Machine Learning 108 (8), 1443-1466, 2019
82019
Projections for approximate policy iteration algorithms
R Akrour, J Pajarinen, J Peters, G Neumann
International Conference on Machine Learning, 181-190, 2019
52019
Layered direct policy search for learning hierarchical skills
F End, R Akrour, J Peters, G Neumann
2017 IEEE International Conference on Robotics and Automation (ICRA), 6442-6448, 2017
52017
Empowered skills
A Gabriel, R Akrour, J Peters, G Neumann
2017 IEEE International Conference on Robotics and Automation (ICRA), 6435-6441, 2017
42017
Preference-based reinforcement learning
R Akrour, M Schoenauer, M Sebag
Choice Models and Preference Learning Workshop at NIPS 11, 2011
42011
An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions
S Tosatto, R Akrour, J Peters
arXiv preprint arXiv:2001.10972, 2020
22020
Learning Replanning Policies With Direct Policy Search
F Brandherm, J Peters, G Neumann, R Akrour
IEEE Robotics and Automation Letters 4 (2), 2196-2203, 2019
22019
Direct value learning: a rank-invariant approach to reinforcement learning
B Mayeur, R Akrour, M Sebag
Autonomously Learning Robots, workshop at NIPS 2014, 2014
22014
Direct value learning: A preference-based approach to reinforcement learning
D Meunier, Y Deguchi, R Akrour, E Suzuki, M Schoenauer, M Sebag
ECAI-12 Workshop on Preference Learning: Problems and Applications in AI, 42-47, 2012
22012
Reinforcement Learning from a Mixture of Interpretable Experts
R Akrour, D Tateo, J Peters
arXiv preprint arXiv:2006.05911, 2020
12020
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Articles 1–20