Riad Akrour - RankMe

35 papers A* 8A 1Journal 21Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Breiman meets Bellman: Non-Greedy Decision Trees with MDPs. KDD (2) Hector Kohler, Riad Akrour, Philippe Preux
2025	J	`jnl`	Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs. CoRR Hector Kohler, Quentin Delfosse, Waris Radji, Riad Akrour, Philippe Preux
2025	J	`jnl`	PB CoRR Brahim Driss, Alex Davey, Riad Akrour
2025	J	`jnl`	StaQ it! Growing neural networks for Policy Mirror Descent. CoRR Alena Shilova, Alex Davey, Brahim Driss, Riad Akrour
2024	A*	`conf`	Augmented Bayesian Policy Search. ICLR Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo
2024	J	`jnl`	Augmented Bayesian Policy Search. CoRR Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo
2024	J	`jnl`	Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning. CoRR Hector Kohler, Quentin Delfosse, Riad Akrour, Kristian Kersting, Philippe Preux
2023	J	`jnl`	Discovering the Interpretability-Performance Pareto Front of Decision Trees with Dynamic Programming. CoRR Hector Kohler, Riad Akrour, Philippe Preux
2023	J	`jnl`	Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning. CoRR Hector Kohler, Riad Akrour, Philippe Preux
2022	J	`jnl`	Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts. IEEE Trans. Pattern Anal. Mach. Intell. Riad Akrour, Davide Tateo, Jan Peters
2022	J	`jnl`	Entropy Regularized Reinforcement Learning with Cascading Networks. CoRR Riccardo Della Vecchia, Alena Shilova, Philippe Preux, Riad Akrour
2021	J	`jnl`	Convex optimization with an interpolation-based projection and its application to deep learning. Mach. Learn. Riad Akrour, Asma Atamna, Jan Peters
2020	J	`jnl`	An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions. CoRR Samuele Tosatto, Riad Akrour, Jan Peters
2020	J	`jnl`	Convex Optimization with an Interpolation-based Projection and its Application to Deep Learning. CoRR Riad Akrour, Asma Atamna, Jan Peters
2020	J	`jnl`	Hierarchical Tactile-Based Control Decomposition of Dexterous In-Hand Manipulation Tasks. Frontiers Robotics AI Filipe Veiga, Riad Akrour, Jan Peters
2020	J	`jnl`	Reinforcement Learning from a Mixture of Interpretable Experts. CoRR Riad Akrour, Davide Tateo, Jan Peters
2019	J	`jnl`	Compatible Natural Gradient Policy Search. CoRR Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann
2019	J	`jnl`	Compatible natural gradient policy search. Mach. Learn. Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann
2019	J	`jnl`	Learning Replanning Policies With Direct Policy Search. IEEE Robotics Autom. Lett. Florian Brandherm, Jan Peters, Gerhard Neumann, Riad Akrour
2019	A*	`conf`	Projections for Approximate Policy Iteration Algorithms. ICML Riad Akrour, Joni Pajarinen, Jan Peters, Gerhard Neumann
2018	J	`jnl`	Model-Free Trajectory-based Policy Optimization with Monotonic Improvement. J. Mach. Learn. Res. Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad, Jan Peters, Gerhard Neumann
2018	A	`conf`	Regularizing Reinforcement Learning with State Abstraction. IROS Riad Akrour, Filipe Veiga, Jan Peters, Gerhard Neumann
2018	A*	`conf`	Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences. ICRA Robert Pinsler, Riad Akrour, Takayuki Osa, Jan Peters, Gerhard Neumann
2017	J	`jnl`	A Survey of Preference-Based Reinforcement Learning Methods. J. Mach. Learn. Res. Christian Wirth, Riad Akrour, Gerhard Neumann, Johannes Fürnkranz
2017	A*	`conf`	Empowered skills. ICRA Alexander Gabriel, Riad Akrour, Jan Peters, Gerhard Neumann
2017	A*	`conf`	Layered direct policy search for learning hierarchical skills. ICRA Felix End, Riad Akrour, Jan Peters, Gerhard Neumann
2017	A*	`conf`	Local Bayesian Optimization of Motor Skills. ICML Riad Akrour, Dmitry Sorokin, Jan Peters, Gerhard Neumann
2016	—	`conf`	Anti Imitation-Based Policy Learning. ECML/PKDD (2) Michèle Sebag, Riad Akrour, Basile Mayeur, Marc Schoenauer
2016	A*	`conf`	Model-Free Trajectory Optimization for Reinforcement Learning. ICML Riad Akrour, Gerhard Neumann, Hany Abdulsamad, Abbas Abdolmaleki
2016	J	`jnl`	Model-free Trajectory Optimization for Reinforcement Learning. CoRR Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad, Gerhard Neumann
2014	A*	`conf`	Programming by Feedback. ICML Marc Schoenauer, Riad Akrour, Michèle Sebag, Jean-Christophe Souplet
2014	—	`—`	Robust Preference Learning-based Reinforcement Learning. (Apprentissage par renforcement robuste reposant sur l'apprentissage par préférences). Riad Akrour
2012	—	`conf`	APRIL: Active Preference Learning-Based Reinforcement Learning. ECML/PKDD (2) Riad Akrour, Marc Schoenauer, Michèle Sebag
2012	J	`jnl`	APRIL: Active Preference-learning based Reinforcement Learning CoRR Riad Akrour, Marc Schoenauer, Michèle Sebag
2011	—	`conf`	Preference-Based Policy Learning. ECML/PKDD (1) Riad Akrour, Marc Schoenauer, Michèle Sebag