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Riad Akrour
Riad Akrour
Inria Scool
Verified email at inria.fr - Homepage
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Cited by
Cited by
Year
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
3212017
April: Active preference learning-based reinforcement learning
R Akrour, M Schoenauer, M Sebag
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012
1722012
Preference-based policy learning
R Akrour, M Schoenauer, M Sebag
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011
1702011
Programming by feedback
R Akrour, M Schoenauer, M Sebag, JC Souplet
International Conference on Machine Learning 32, 1503-1511, 2014
73*2014
Model-free trajectory optimization for reinforcement learning
R Akrour, G Neumann, H Abdulsamad, A Abdolmaleki
International Conference on Machine Learning, 2961-2970, 2016
482016
Model-free trajectory-based policy optimization with monotonic improvement
R Akrour, A Abdolmaleki, H Abdulsamad, J Peters, G Neumann
Journal of machine learning research 19 (14), 1-25, 2018
302018
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
262018
Compatible natural gradient policy search
J Pajarinen, HL Thai, R Akrour, J Peters, G Neumann
Machine Learning 108, 1443-1466, 2019
242019
Local Bayesian optimization of motor skills
R Akrour, D Sorokin, J Peters, G Neumann
International Conference on Machine Learning, 41-50, 2017
212017
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
202018
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
202017
Continuous action reinforcement learning from a mixture of interpretable experts
R Akrour, D Tateo, J Peters
16*2020
Hierarchical tactile-based control decomposition of dexterous in-hand manipulation tasks
F Veiga, R Akrour, J Peters
Frontiers in Robotics and AI 7, 521448, 2020
152020
Interactive robot education
R Akrour, M Schoenauer, M Sebag
ECML/PKDD Workshop on Reinforcement Learning with Generalized Feedback …, 2013
152013
Reinforcement learning based underwater wireless optical communication alignment for autonomous underwater vehicles
Y Weng, J Pajarinen, R Akrour, T Matsuda, J Peters, T Maki
IEEE Journal of Oceanic Engineering 47 (4), 1231-1245, 2022
142022
Projections for approximate policy iteration algorithms
R Akrour, J Pajarinen, J Peters, G Neumann
International Conference on Machine Learning, 181-190, 2019
122019
An upper bound of the bias of Nadaraya-Watson kernel regression under Lipschitz assumptions
S Tosatto, R Akrour, J Peters
Stats 4 (1), 1-17, 2020
52020
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
52019
Towards reinforcement learning of human readable policies
R Akrour, D Tateo, J Peters
The European Conference on Machine Learning and Principles and Practice of …, 2019
52019
Preference-based reinforcement learning
R Akrour, M Schoenauer, M Sebag
Choice Models and Preference Learning Workshop at NIPS 11, 2011
52011
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Articles 1–20