A. E. Eiben

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 101

Top Venues

Publications

Muhan Hou, Koen V. Hindriks, A. E. Eiben, Kim Baraka
"Give Me an Example Like This": Episodic Active Reinforcement Learning from Demonstrations. CoRR (2024)
Fuda van Diggelen, Eliseo Ferrante, A. E. Eiben
Comparing Robot Controller Optimization Methods on Evolvable Morphologies. Evol. Comput. 32 (2) (2024)
Matteo De Carlo, Eliseo Ferrante, Daan Zeeuwe, Jacintha Ellers, A. E. Eiben
Heritability of morphological and behavioural traits in evolving robots. Evol. Intell. 17 (3) (2024)
Fuda van Diggelen, Matteo De Carlo, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben
Emergence of specialized Collective Behaviors in Evolving Heterogeneous Swarms. CoRR (2024)
Fuda van Diggelen, Eliseo Ferrante, Nihed Harrak, Jie Luo, Daan Zeeuwe, A. E. Eiben
The Influence of Robot Traits and Evolutionary Dynamics on the Reality Gap. IEEE Trans. Cogn. Dev. Syst. 15 (2) (2023)
Matteo De Carlo, Eliseo Ferrante, Jacintha Ellers, Gerben Meynen, A. E. Eiben
Interacting Robots in an Artificial Evolutionary Ecosystem. EuroGP (2023)
Tugay Alperen Karagüzel, Ali Emre Turgut, A. E. Eiben, Eliseo Ferrante
Collective gradient perception with a flying robot swarm. Swarm Intell. 17 (1) (2023)
Karine Miras, Decebal Constantin Mocanu, A. E. Eiben
Hu-bot: promoting the cooperation between humans and mobile robots. Neural Comput. Appl. 35 (23) (2023)
Muhan Hou, Koen V. Hindriks, A. E. Eiben, Kim Baraka
Shaping Imbalance into Balance: Active Robot Guidance of Human Teachers for Better Learning from Demonstrations. RO-MAN (2023)
Aart C. Stuurman, Anil Yaman, A. E. Eiben
An Approach to Representation Learning in Morphological Robot Evolution. SSCI (2023)
Muhan Hou, Koen V. Hindriks, A. E. Eiben, Kim Baraka
A Process-Oriented Framework for Robot Imitation Learning in Human-Centered Interactive Tasks. RO-MAN (2023)
Oliver Weissl, A. E. Eiben
Morphological-Novelty in Modular Robot Evolution. SSCI (2023)
Fuda van Diggelen, Jie Luo, Tugay Alperen Karagüzel, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben
Collective motion emerging from evolving swarm controllers in different environments using gradient following task. CoRR (2022)
Gongjin Lan, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben
Time efficiency in optimization with a bayesian-Evolutionary algorithm. Swarm Evol. Comput. 69 (2022)
Fuda van Diggelen, Jie Luo, Tugay Alperen Karagüzel, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben
Environment induced emergence of collective behavior in evolving swarms with limited sensing. GECCO (2022)
Fuda van Diggelen, Eliseo Ferrante, A. E. Eiben
Comparing lifetime learning methods for morphologically evolving robots. CoRR (2022)
Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein
A new taxonomy of global optimization algorithms. Nat. Comput. 21 (2) (2022)
A. E. Eiben
Evolving Embodied Intelligence. IJCCI (2022)
Karine Miras, A. E. Eiben
How the History of Changing Environments Affects Traits of Evolvable Robot Populations. Artif. Life 28 (2) (2022)
Tugay Alperen Karagüzel, Nicolas Cambier, A. E. Eiben, Eliseo Ferrante
Collective Gradient Following with Sensory Heterogeneous UAV Swarm. DARS (2022)
Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben
Co-optimizing for task performance and energy efficiency in evolvable robots. Eng. Appl. Artif. Intell. 113 (2022)
Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben
Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots. CoRR (2021)
Fuda van Diggelen, Eliseo Ferrante, A. E. Eiben
Comparing lifetime learning methods for morphologically evolving robots. GECCO Companion (2021)
Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid
Evo-RL: evolutionary-driven reinforcement learning. GECCO Companion (2021)
Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben
Behavior-based Neuroevolutionary Training in Reinforcement Learning. CoRR (2021)
Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein, A. E. Eiben
Impact of energy efficiency on the morphology and behaviour of evolved robots. GECCO Companion (2021)
Matteo De Carlo, Eliseo Ferrante, Jacintha Ellers, Gerben Meynen, A. E. Eiben
The impact of different tasks on evolved robot morphologies. GECCO Companion (2021)
Gongjin Lan, Maarten van Hooft, Matteo De Carlo, Jakub M. Tomczak, A. E. Eiben
Learning locomotion skills in evolvable robots. Neurocomputing 452 (2021)
Jörg Stork, Martin Zaefferer, Nils Eisler, Patrick Tichelmann, Thomas Bartz-Beielstein, A. E. Eiben
Behavior-based neuroevolutionary training in reinforcement learning. GECCO Companion (2021)
Matteo De Carlo, Eliseo Ferrante, Daan Zeeuwe, Jacintha Ellers, Gerben Meynen, A. E. Eiben
Heritability in Morphological Robot Evolution. CoRR (2021)
Daan Klijn, A. E. Eiben
A coevolutionary approach to deep multi-agent reinforcement learning. CoRR (2021)
A. E. Eiben
Real-World Robot Evolution: Why Would it (not) Work? Frontiers Robotics AI 8 (2021)
Karine Miras, Jim Cuijpers, Bahadir Gülhan, A. E. Eiben
The Impact of Early-death on Phenotypically Plastic Robots that Evolve in Changing Environments. ALIFE (2021)
Daan Klijn, A. E. Eiben
A coevolutionary approach to deep multi-agent reinforcement learning. GECCO Companion (2021)
Koen Van Der Pool, A. E. Eiben
Moonwalkers: Evolving Robots for Locomotion in a Moon-like Environment. SSCI (2021)
Gongjin Lan, Matteo De Carlo, Fuda van Diggelen, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben
Learning directed locomotion in modular robots with evolvable morphologies. Appl. Soft Comput. 111 (2021)
Babak H. Kargar, Karine Miras, A. E. Eiben
The effect of selecting for different behavioral traits on the evolved gaits of modular robots. ALIFE (2021)
Ali el Hassouni, Mark Hoogendoorn, Marketa Ciharova, Annet Kleiboer, Khadicha Amarti, Vesa Muhonen, Heleen Riper, A. E. Eiben
pH-RL: A Personalization Architecture to Bring Reinforcement Learning to Health Practice. LOD (2021)
Ali el Hassouni, Mark Hoogendoorn, Marketa Ciharova, Annet Kleiboer, Khadicha Amarti, Vesa Muhonen, Heleen Riper, A. E. Eiben
pH-RL: A personalization architecture to bring reinforcement learning to health practice. CoRR (2021)
Margarita Rebolledo, A. E. Eiben, Thomas Bartz-Beielstein
Bayesian Networks for Mood Prediction Using Unobtrusive Ecological Momentary Assessments. EvoApplications (2021)
Gongjin Lan, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben
Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm. CoRR (2020)
Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein
Parallelized Bayesian Optimization for Expensive Robot Controller Evolution. PPSN (1) (2020)
A. E. Eiben
Evolving robot software and hardware. SEAMS@ICSE (2020)
Matteo De Carlo, Eliseo Ferrante, A. E. Eiben
Comparing indirect encodings by evolutionary attractor analysis in the trait space of modular robots. GECCO Companion (2020)
Karine Miras, Matteo De Carlo, Sayfeddine Akhatou, A. E. Eiben
Evolving-Controllers Versus Learning-Controllers for Morphologically Evolvable Robots. EvoApplications (2020)
Alessandro Zonta, Selmar K. Smit, A. E. Eiben
Generating Human-Like Movement: A Comparison Between Two Approaches Based on Environmental Features. CoRR (2020)
Margarita Rebolledo, Ruxandra Stoean, A. E. Eiben, Thomas Bartz-Beielstein
Hybrid Variable Selection and Support Vector Regression for Gas Sensor Optimization. BIOMA (2020)
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
Understanding the Behavior of Reinforcement Learning Agents. BIOMA (2020)
Ali el Hassouni, Mark Hoogendoorn, A. E. Eiben, Vesa Muhonen
Structural and Functional Representativity of GANs for Data Generation in Sequential Decision Making. LOD (1) (2020)
Karine Miras, Eliseo Ferrante, A. E. Eiben
Environmental regulation using Plasticoding for the evolution of robots. CoRR (2020)
Alessandro Zonta, Selmar K. Smit, A. E. Eiben
Towards a human-like movements generator based on environmental features. SSCI (2020)
Stéphane Doncieux, Nicolas Bredèche, Leni K. Le Goff, Benoît Girard, Alexandre Coninx, Olivier Sigaud, Mehdi Khamassi, Natalia Díaz Rodríguez, David Filliat, Timothy M. Hospedales, A. E. Eiben, Richard J. Duro
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. CoRR (2020)
Margarita Alejandra Rebolledo Coy, Frederik Rehbach, A. E. Eiben, Thomas Bartz-Beielstein
Parallelized bayesian optimization for problems with expensive evaluation functions. GECCO Companion (2020)
Fuda van Diggelen, Robert Babuska, A. E. Eiben
The Effects of Adaptive Control on Learning Directed Locomotion. SSCI (2020)
Gongjin Lan, Maarten van Hooft, Matteo De Carlo, Jakub M. Tomczak, A. E. Eiben
Learning Locomotion Skills in Evolvable Robots. CoRR (2020)
Matteo De Carlo, Daan Zeeuwe, Eliseo Ferrante, Gerben Meynen, Jacintha Ellers, A. E. Eiben
Robotic task affects the resulting morphology and behaviour in evolutionary robotics. SSCI (2020)
Karine Miras, Eliseo Ferrante, A. E. Eiben
Environmental Regulation Using Plasticoding for the Evolution of Robots. Frontiers Robotics AI 7 (2020)
Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid
EVO-RL: Evolutionary-Driven Reinforcement Learning. CoRR (2020)
Gongjin Lan, Matteo De Carlo, Fuda van Diggelen, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben
Learning Directed Locomotion in Modular Robots with Evolvable Morphologies. CoRR (2020)
A. E. Eiben, Emma Hart
If it evolves it needs to learn. GECCO Companion (2020)
Matteo De Carlo, Daan Zeeuwe, Eliseo Ferrante, Gerben Meynen, Jacintha Ellers, A. E. Eiben
Influences of Artificial Speciation on Morphological Robot Evolution. SSCI (2020)
Eoin Martino Grua, Mark Hoogendoorn, Ivano Malavolta, Patricia Lago, A. E. Eiben
CluStream-GT: Online Clustering for Personalization in the Health Domain. WI (2019)
Fabrício Olivetti de França, Denis G. Fantinato, Karine Miras, A. E. Eiben, Patrícia Amâncio Vargas
EvoMan: Game-playing Competition. CoRR (2019)
Jacqueline Heinerman, Evert Haasdijk, A. E. Eiben
Importance of Parameter Settings on the Benefits of Robot-to-Robot Learning in Evolutionary Robotics. Frontiers Robotics AI 6 (2019)
Gongjin Lan, Jiunhan Chen, A. E. Eiben
Evolutionary predator-prey robot systems: from simulation to real world. GECCO (Companion) (2019)
T. van de Velde, Claudio Rossi, A. E. Eiben
Body Symmetry in Morphologically Evolving Modular Robots. EvoApplications (2019)
Karine Miras, A. E. Eiben
Effects of environmental conditions on evolved robot morphologies and behavior. GECCO (2019)
Karine Miras, A. E. Eiben
The impact of environmental history on evolved robot properties. ALIFE (2019)
Alex Ellery, A. E. Eiben
To Evolve or Not to Evolve? That is the Question. ALIFE (2019)
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning. CoRR (2019)
Gongjin Lan, Jiunhan Chen, A. E. Eiben
Simulated and Real-World Evolution of Predator Robots. SSCI (2019)
Alessandro Zonta, Selmar K. Smit, Mark Hoogendoorn, A. E. Eiben
Generation of Human-Like Movements Based on Environmental Features. SSCI (2019)
Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein, A. E. Eiben
Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning. GECCO (2019)
Milan Jelisavcic, Kyrre Glette, Evert Haasdijk, A. E. Eiben
Lamarckian Evolution of Simulated Modular Robots. Frontiers Robotics AI 6 (2019)
Ali el Hassouni, Mark Hoogendoorn, A. E. Eiben, Martijn van Otterlo, Vesa Muhonen
End-to-end Personalization of Digital Health Interventions using Raw Sensor Data with Deep Reinforcement Learning. WI (2019)
Jacqueline Heinerman, Bart Bussmann, Rick Groenendijk, Emile van Krieken, Jesper Slik, Alessandro Tezza, Evert Haasdijk, A. E. Eiben
Benefits of Social Learning in Physical Robots. SSCI (2018)
Gongjin Lan, Jesús Benito-Picazo, Diederik M. Roijers, Enrique Domínguez, A. E. Eiben
Real-Time Robot Vision on Low-Performance Computing Hardware. ICARCV (2018)
Elte Hupkes, Milan Jelisavcic, A. E. Eiben
Revolve: A Versatile Simulator for Online Robot Evolution. EvoApplications (2018)
Milan Jelisavcic, Karine Miras, A. E. Eiben
Morphological Attractors in Darwinian and Lamarckian Evolutionary Robot Systems. SSCI (2018)
Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein
A new Taxonomy of Continuous Global Optimization Algorithms. CoRR (2018)
Karine Miras, Evert Haasdijk, Kyrre Glette, A. E. Eiben
Effects of Selection Preferences on Evolved Robot Morphologies and Behaviors. ALIFE (2018)
Milan Jelisavcic, Diederik M. Roijers, A. E. Eiben
Analysing the Relative Importance of Robot Brains and Bodies. ALIFE (2018)
Alessandro Zonta, Selmar K. Smit, Evert Haasdijk, A. E. Eiben
Modelling Human Movements With Turing Learning. SSCI (2018)
Karine Miras, Arwin Gansekoele, Kyrre Glette, A. E. Eiben
Insights in evolutionary exploration of robot morphology spaces. SSCI (2018)
Gongjin Lan, Milan Jelisavcic, Diederik M. Roijers, Evert Haasdijk, A. E. Eiben
Directed Locomotion for Modular Robots with Evolvable Morphologies. PPSN (1) (2018)
Karine Miras, Evert Haasdijk, Kyrre Glette, A. E. Eiben
Search Space Analysis of Evolvable Robot Morphologies. EvoApplications (2018)
Luís F. Simões, Dario Izzo, Evert Haasdijk, A. E. Eiben
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO. CoRR (2017)
Luís F. Simões, Dario Izzo, Evert Haasdijk, A. E. Eiben
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO. EvoCOP (2017)
Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, Thomas Bartz-Beielstein, A. E. Eiben, Evert Haasdijk
Can social learning increase learning speed, performance or both? ECAL (2017)
Milan Jelisavcic, Rafael Kiesel, Kyrre Glette, Evert Haasdijk, A. E. Eiben
Analysis of Lamarckian evolution in morphologically evolving robots. ECAL (2017)
Milan Jelisavcic, Rafael Kiesel, Kyrre Glette, Evert Haasdijk, A. E. Eiben
Benefits of lamarckian evolution for morphologically evolving robots. GECCO (Companion) (2017)
Jacqueline Heinerman, Evert Haasdijk, A. E. Eiben
Unsupervised identification and recognition of situations for high-dimensional sensori-motor streams. Neurocomputing 262 (2017)
Ward van Breda, Mark Hoogendoorn, A. E. Eiben, Matthias Berking
Assessment of temporal predictive models for health care using a formal method. Comput. Biol. Medicine 87 (2017)
Milan Jelisavcic, Evert Haasdijk, A. E. Eiben
Acquiring moving skills in robots with evolvable morphologies: recent results and outlook. GECCO (Companion) (2017)
Milan Jelisavcic, Matteo De Carlo, Elte Hupkes, Panagiotis Eustratiadis, Jakub Orlowski, Evert Haasdijk, Joshua Evan Auerbach, A. E. Eiben
Real-World Evolution of Robot Morphologies: A Proof of Concept. Artif. Life 23 (2) (2017)
Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, A. E. Eiben, Thomas Bartz-Beielstein, Evert Haasdijk
Is social learning more than parameter tuning? GECCO (Companion) (2017)
Berend Weel, M. D'Angelo, Evert Haasdijk, A. E. Eiben
Online Gait Learning for Modular Robots with Arbitrary Shapes and Sizes. Artif. Life 23 (1) (2017)
Milan Jelisavcic, Matteo De Carlo, Evert Haasdijk, A. E. Eiben
Improving RL power for on-line evolution of gaits in modular robots. SSCI (2016)
Jacqueline Heinerman, Alessandro Zonta, Evert Haasdijk, A. E. Eiben
On-line Evolution of Foraging Behaviour in a Population of Real Robots. EvoApplications (2) (2016)
Eelco den Heijer, A. E. Eiben
Using scalable vector graphics to evolve art. Int. J. Arts Technol. 9 (1) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

A. E. Eiben