Riad Akrour

Orcid: 0000-0002-8735-6960

According to our database1, Riad Akrour authored at least 24 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Discovering the Interpretability-Performance Pareto Front of Decision Trees with Dynamic Programming.
CoRR, 2023

Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning.
CoRR, 2023

2022
Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Entropy Regularized Reinforcement Learning with Cascading Networks.
CoRR, 2022

2021
Convex optimization with an interpolation-based projection and its application to deep learning.
Mach. Learn., 2021

2020
Hierarchical Tactile-Based Control Decomposition of Dexterous In-Hand Manipulation Tasks.
Frontiers Robotics AI, 2020

Reinforcement Learning from a Mixture of Interpretable Experts.
CoRR, 2020

An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions.
CoRR, 2020

2019
Learning Replanning Policies With Direct Policy Search.
IEEE Robotics Autom. Lett., 2019

Compatible natural gradient policy search.
Mach. Learn., 2019

Projections for Approximate Policy Iteration Algorithms.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Model-Free Trajectory-based Policy Optimization with Monotonic Improvement.
J. Mach. Learn. Res., 2018

Regularizing Reinforcement Learning with State Abstraction.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
A Survey of Preference-Based Reinforcement Learning Methods.
J. Mach. Learn. Res., 2017

Empowered skills.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Layered direct policy search for learning hierarchical skills.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Local Bayesian Optimization of Motor Skills.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Anti Imitation-Based Policy Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Model-Free Trajectory Optimization for Reinforcement Learning.
Proceedings of the 33nd International Conference on Machine Learning, 2016

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

Programming by Feedback.
Proceedings of the 31th International Conference on Machine Learning, 2014

2012
APRIL: Active Preference Learning-Based Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011
Preference-Based Policy Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011


  Loading...