Preference-Based Policy Learning. - Riad Akrour; Marc Schoenauer; Michèle Sebag (ECML/PKDD (1), 2011)

APRIL: Active Preference Learning-Based Reinforcement Learning. - Riad Akrour; Marc Schoenauer; Michèle Sebag (ECML/PKDD (2), 2012)

Programming by Feedback. - Marc Schoenauer; Riad Akrour; Michèle Sebag; Jean-Christophe Souplet (ICML, 2014)

Robust Preference Learning-based Reinforcement Learning. (Apprentissage par renforcement robuste reposant sur l'apprentissage par préférences). - Riad Akrour (2014)

Model-Free Trajectory Optimization for Reinforcement Learning. - Riad Akrour; Gerhard Neumann; Hany Abdulsamad; Abbas Abdolmaleki (ICML, 2016)

Anti Imitation-Based Policy Learning. - Michèle Sebag; Riad Akrour; Basile Mayeur; Marc Schoenauer (ECML/PKDD (2), 2016)

Local Bayesian Optimization of Motor Skills. - Riad Akrour; Dmitry Sorokin; Jan Peters 001; Gerhard Neumann (ICML, 2017)

Layered direct policy search for learning hierarchical skills. - Felix End; Riad Akrour; Jan Peters 001; Gerhard Neumann (ICRA, 2017)

Empowered skills. - Alexander Gabriel; Riad Akrour; Jan Peters 001; Gerhard Neumann (ICRA, 2017)

A Survey of Preference-Based Reinforcement Learning Methods. - Christian Wirth 001; Riad Akrour; Gerhard Neumann; Johannes Fürnkranz (J. Mach. Learn. Res., 2017)

Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences. - Robert Pinsler; Riad Akrour; Takayuki Osa; Jan Peters 001; Gerhard Neumann (ICRA, 2018)

Regularizing Reinforcement Learning with State Abstraction. - Riad Akrour; Filipe Veiga; Jan Peters 001; Gerhard Neumann (IROS, 2018)

Model-Free Trajectory-based Policy Optimization with Monotonic Improvement. - Riad Akrour; Abbas Abdolmaleki; Hany Abdulsamad; Jan Peters 001; Gerhard Neumann (J. Mach. Learn. Res., 2018)

Projections for Approximate Policy Iteration Algorithms. - Riad Akrour; Joni Pajarinen; Jan Peters 001; Gerhard Neumann (ICML, 2019)

Compatible natural gradient policy search. - Joni Pajarinen; Hong Linh Thai; Riad Akrour; Jan Peters 001; Gerhard Neumann (Mach. Learn., 2019)

Learning Replanning Policies With Direct Policy Search. - Florian Brandherm; Jan Peters 001; Gerhard Neumann; Riad Akrour (IEEE Robotics Autom. Lett., 2019)

An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions. - Samuele Tosatto; Riad Akrour; Jan Peters 001 (CoRR, 2020)

Reinforcement Learning from a Mixture of Interpretable Experts. - Riad Akrour; Davide Tateo; Jan Peters 001 (CoRR, 2020)

Hierarchical Tactile-Based Control Decomposition of Dexterous In-Hand Manipulation Tasks. - Filipe Veiga; Riad Akrour; Jan Peters 001 (Frontiers Robotics AI, 2020)

Convex optimization with an interpolation-based projection and its application to deep learning. - Riad Akrour; Asma Atamna; Jan Peters 001 (Mach. Learn., 2021)

Entropy Regularized Reinforcement Learning with Cascading Networks. - Riccardo Della Vecchia; Alena Shilova; Philippe Preux; Riad Akrour (CoRR, 2022)

Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts. - Riad Akrour; Davide Tateo; Jan Peters 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning. - Hector Kohler; Riad Akrour; Philippe Preux (CoRR, 2023)

Discovering the Interpretability-Performance Pareto Front of Decision Trees with Dynamic Programming. - Hector Kohler; Riad Akrour; Philippe Preux (CoRR, 2023)

Augmented Bayesian Policy Search. - Mahdi Kallel; Debabrota Basu; Riad Akrour; Carlo D'Eramo (ICLR, 2024)

Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning. - Hector Kohler; Quentin Delfosse; Riad Akrour; Kristian Kersting; Philippe Preux (CoRR, 2024)

Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs. - Hector Kohler; Quentin Delfosse; Waris Radji; Riad Akrour; Philippe Preux (CoRR, 2025)

PB2: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning. - Brahim Driss; Alex Davey; Riad Akrour (CoRR, 2025)

StaQ it! Growing neural networks for Policy Mirror Descent. - Alena Shilova; Alex Davey; Brahim Driss; Riad Akrour (CoRR, 2025)