Riad Akrour

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 26

Top Venues

University of Paris-Sud, Orsay, France (PHD)

Education History

University of Paris-Sud, Orsay, France

PHD

Publications

Hector Kohler, Quentin Delfosse, Riad Akrour, Kristian Kersting, Philippe Preux
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning. CoRR (2024)
Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo
Augmented Bayesian Policy Search. ICLR (2024)
Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo
Augmented Bayesian Policy Search. CoRR (2024)
Hector Kohler, Riad Akrour, Philippe Preux
Discovering the Interpretability-Performance Pareto Front of Decision Trees with Dynamic Programming. CoRR (2023)
Hector Kohler, Riad Akrour, Philippe Preux
Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning. CoRR (2023)
Riad Akrour, Davide Tateo, Jan Peters
Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Riccardo Della Vecchia, Alena Shilova, Philippe Preux, Riad Akrour
Entropy Regularized Reinforcement Learning with Cascading Networks. CoRR (2022)
Riad Akrour, Asma Atamna, Jan Peters
Convex optimization with an interpolation-based projection and its application to deep learning. Mach. Learn. 110 (8) (2021)
Filipe Veiga, Riad Akrour, Jan Peters
Hierarchical Tactile-Based Control Decomposition of Dexterous In-Hand Manipulation Tasks. Frontiers Robotics AI 7 (2020)
Riad Akrour, Davide Tateo, Jan Peters
Reinforcement Learning from a Mixture of Interpretable Experts. CoRR (2020)
Samuele Tosatto, Riad Akrour, Jan Peters
An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions. CoRR (2020)
Riad Akrour, Asma Atamna, Jan Peters
Convex Optimization with an Interpolation-based Projection and its Application to Deep Learning. CoRR (2020)
Florian Brandherm, Jan Peters, Gerhard Neumann, Riad Akrour
Learning Replanning Policies With Direct Policy Search. IEEE Robotics Autom. Lett. 4 (2) (2019)
Riad Akrour, Joni Pajarinen, Jan Peters, Gerhard Neumann
Projections for Approximate Policy Iteration Algorithms. ICML (2019)
Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann
Compatible Natural Gradient Policy Search. CoRR (2019)
Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann
Compatible natural gradient policy search. Mach. Learn. 108 (8-9) (2019)
Robert Pinsler, Riad Akrour, Takayuki Osa, Jan Peters, Gerhard Neumann
Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences. ICRA (2018)
Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad, Jan Peters, Gerhard Neumann
Model-Free Trajectory-based Policy Optimization with Monotonic Improvement. J. Mach. Learn. Res. 19 (2018)
Riad Akrour, Filipe Veiga, Jan Peters, Gerhard Neumann
Regularizing Reinforcement Learning with State Abstraction. IROS (2018)
Alexander Gabriel, Riad Akrour, Jan Peters, Gerhard Neumann
Empowered skills. ICRA (2017)
Christian Wirth, Riad Akrour, Gerhard Neumann, Johannes Fürnkranz
A Survey of Preference-Based Reinforcement Learning Methods. J. Mach. Learn. Res. 18 (2017)
Felix End, Riad Akrour, Jan Peters, Gerhard Neumann
Layered direct policy search for learning hierarchical skills. ICRA (2017)
Riad Akrour, Dmitry Sorokin, Jan Peters, Gerhard Neumann
Local Bayesian Optimization of Motor Skills. ICML (2017)
Riad Akrour, Gerhard Neumann, Hany Abdulsamad, Abbas Abdolmaleki
Model-Free Trajectory Optimization for Reinforcement Learning. ICML (2016)
Michèle Sebag, Riad Akrour, Basile Mayeur, Marc Schoenauer
Anti Imitation-Based Policy Learning. ECML/PKDD (2) (2016)
Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad, Gerhard Neumann
Model-free Trajectory Optimization for Reinforcement Learning. CoRR (2016)
Marc Schoenauer, Riad Akrour, Michèle Sebag, Jean-Christophe Souplet
Programming by Feedback. ICML (2014)
Riad Akrour, Marc Schoenauer, Michèle Sebag
APRIL: Active Preference-learning based Reinforcement Learning CoRR (2012)
Riad Akrour, Marc Schoenauer, Michèle Sebag
APRIL: Active Preference Learning-Based Reinforcement Learning. ECML/PKDD (2) (2012)
Riad Akrour, Marc Schoenauer, Michèle Sebag
Preference-Based Policy Learning. ECML/PKDD (1) (2011)

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Publication Activity (10 Years)

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Riad Akrour