Konstantinos I. Chatzilygeroudis

Bryan Lim

ACM Trans. Evol. Learn. Optim., June, 2023

Self-Correcting Quadratic Programming-Based Robot Control.

[BibT_eX]

[DOI]

Farshad Khadivar

Aude Billard

IEEE Trans. Syst. Man Cybern. Syst., 2023

End-to-End Stable Imitation Learning via Autonomous Neural Dynamic Policies.

[BibT_eX]

[DOI]

Dionis Totsila

Denis Hadjivelichkov

Valerio Modugno

Ioannis Hatzilygeroudis

Dimitrios Kanoulas

CoRR, 2023

Fast and Robust Constrained Optimization via Evolutionary and Quadratic Programming.

[BibT_eX]

[DOI]

Michael N. Vrahatis

Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

Effective Skill Learning via Autonomous Goal Representation Learning.

[BibT_eX]

[DOI]

Constantinos G. Tsakonas

Proceedings of the 14th International Conference on Information, 2023

Evolving Dynamic Locomotion Policies in Minutes.

[BibT_eX]

[DOI]

Constantinos G. Tsakonas

Michael N. Vrahatis

Proceedings of the 14th International Conference on Information, 2023

2022

Behavior policy learning: Learning multi-stage tasks via solution sketches and model-based controllers.

[BibT_eX]

[DOI]

Konstantinos Tsinganos

Frontiers Robotics AI, 2022

Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks.

[BibT_eX]

[DOI]

Faseeh Ahmad

CoRR, 2022

Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration.

[BibT_eX]

[DOI]

Faseeh Ahmad

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Hierarchical quality-diversity for online damage recovery.

[BibT_eX]

[DOI]

Maxime Allard

Simón C. Smith

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Learning Skill-based Industrial Robot Tasks with User Priors.

[BibT_eX]

[DOI]

Carl Hvarfner

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm.

[BibT_eX]

[DOI]

Aristidis G. Vrahatis

Sotiris K. Tasoulis

Michael N. Vrahatis

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

Learning of Parameters in Behavior Trees for Movement Skills.

[BibT_eX]

[DOI]

Faseeh Ahmad

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Machine Learning Basics.

[BibT_eX]

[DOI]

Ioannis Hatzilygeroudis

Isidoros Perikos

Proceedings of the Intelligent Computing for Interactive System Design: Statistics, 2021

2020

A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2020

Benchmark for Human-to-Robot Handovers of Unseen Containers With Unknown Filling.

[BibT_eX]

[DOI]

Ricardo Sanchez-Matilla

IEEE Robotics Autom. Lett., 2020

Benchmark for Bimanual Robotic Manipulation of Semi-Deformable Objects.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Robust Reinforcement Learning with Bayesian Optimisation and Quadrature.

[BibT_eX]

[DOI]

Supratik Paul

J. Mach. Learn. Res., 2020

Quality-Diversity Optimization: a novel branch of stochastic optimization.

[BibT_eX]

[DOI]

CoRR, 2020

From human action understanding to robot action execution: how the physical properties of handled objects modulate non-verbal cues.

[BibT_eX]

[DOI]

Nuno Ferreira Duarte

José Santos-Victor

Aude Billard

Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

2019

On Force Synergies in Human Grasping Behavior.

[BibT_eX]

[DOI]

Julia Starke

Aude Billard

Tamim Asfour

Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

2018

Micro-Data Reinforcement Learning for Adaptive Robots. (Apprentissage micro-data pour l'adaptation en robotique).

[BibT_eX]

[DOI]

PhD thesis, 2018

Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2018

Reset-free Trial-and-Error Learning for Robot Damage Recovery.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2018

Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient Optimization.

[BibT_eX]

[DOI]

Federico Allocati

J. Open Source Softw., 2018

Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search.

[BibT_eX]

[DOI]

Rémi Pautrat

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards.

[BibT_eX]

[DOI]

Rituraj Kaushik

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Alternating Optimisation and Quadrature for Robust Control.

[BibT_eX]

[DOI]

Supratik Paul

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Black-box data-efficient policy search for robotics.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

A comparison of illumination algorithms in unbounded spaces.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Comparing multimodal optimization and illumination.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

20 years of reality gap: a few thoughts about simulators in evolutionary robotics.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Scaling Up MAP-Elites Using Centroidal Voronoi Tessellations.

[BibT_eX]

[DOI]

CoRR, 2016

Safety-Aware Robot Damage Recovery Using Constrained Bayesian Optimization and Simulated Priors.

[BibT_eX]

[DOI]

Vaios Papaspyros

CoRR, 2016

Limbo: A Fast and Flexible Library for Bayesian Optimization.

[BibT_eX]

[DOI]

Federico Allocati

CoRR, 2016

Reset-free Trial-and-Error Learning for Data-Efficient Robot Damage Recovery.

[BibT_eX]

[DOI]

CoRR, 2016

Towards semi-episodic learning for robot damage recovery.

[BibT_eX]

[DOI]

Panagiotis N. Koustoumpardis

CoRR, 2016

2015

Human Robot Collaboration for Folding Fabrics Based on Force/RGB-D Feedback.

[BibT_eX]

[DOI]