AE

A. E. Eiben

0000-0002-3106-4213

cs.AIcs.ROcs.NEcs.LGevolutionary roboticsmodular robotsRoboticsAlgorithmsartificial lifeembodied evolution

On Valency

published · living versions

Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO

with Luís F. Simões, Dario Izzo, Evert Haasdijk

1 version

W_7ftfxtcgv1 · current

Preprints & journals

56 papers in the corpus · 1997–2026

Multi-Task Optimization over Networks of Tasks

Julian Hatzky, Thomas Bartz-Beielstein, A. E. Eiben et al.

0 citations

2604.21991v22026arXiv

Limits of Lamarckian Evolution Under Pressure of Morphological Novelty

Jed R Muff, Karine Miras, A.E. Eiben

0 citations

2604.15854v12026arXiv

Emergent Heterogeneous Swarm Control Through Hebbian Learning

Fuda van Diggelen, Tugay Alperen Karaguzel, Andres Garcia Rincon et al.

1 citation

2507.11566v12025arXiv

Unconventional Hexacopters via Evolution and Learning: Performance Gains and New Insights

Jed Muff, Keiichi Ito, Elijah H. W. Ang et al.

1 citation

2505.14129v22025arXiv

Robot Policy Transfer with Online Demonstrations: An Active Reinforcement Learning Approach

Muhan Hou, Koen Hindriks, A.E. Eiben et al.

1 citation

2503.12993v12025arXiv

Active Robot Curriculum Learning from Online Human Demonstrations

Muhan Hou, Koen Hindriks, A.E. Eiben et al.

3 citations

2503.02277v12025arXiv

Editorial: Autonomous (re)production, learning and bio-inspired robotics workshop.

Tyrrell, Andy M, Hart, Emma, Winfield, Alan et al.

0 citations

396699112024Frontiers in robotics and AI. 2024;11:1513495

A model-free method to learn multiple skills in parallel on modular robots.

van Diggelen, Fuda, Cambier, Nicolas, Ferrante, Eliseo et al.

8 citations

390485412025Nature communications. 2024;15(1):6267

"Give Me an Example Like This": Episodic Active Reinforcement Learning from Demonstrations

Muhan Hou, Koen Hindriks, A.E. Eiben et al.

3 citations

2406.03069v32024arXiv

Comparing Robot Controller Optimization Methods on Evolvable Morphologies.

van Diggelen, Fuda, Ferrante, Eliseo, Eiben, A E

4 citations

372002122024Evolutionary computation. 2024;32(2):105-124

Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments

Jie Luo, Karine Miras, Carlo Longhi et al.

3 citations

2403.19545v12024arXiv

Emergence of specialized Collective Behaviors in Evolving Heterogeneous Swarms

Fuda van Diggelen, Matteo De Carlo, Nicolas Cambier et al.

0 citations

2402.04763v12024arXiv

Enhancing robot evolution through Lamarckian principles.

Luo, Jie, Miras, Karine, Tomczak, Jakub et al.

10 citations

380365892023Scientific reports. 2023;13(1):21109

A comparison of controller architectures and learning mechanisms for arbitrary robot morphologies

Jie Luo, Jakub Tomczak, Karine Miras et al.

2 citations

2309.13908v12023arXiv

Lamarck's Revenge: Inheritance of Learned Traits Can Make Robot Evolution Better

Jie Luo, Karine Miras, Jakub Tomczak et al.

0 citations

2309.13099v12023arXiv

Practical hardware for evolvable robots.

Bilby, Mike, Buchanan, Edgar, Le Goff, Léni K et al.

6 citations

376709062026Frontiers in robotics and AI. 2023;10:1206055

A Comparative Study of Brain Reproduction Methods for Morphologically Evolving Robots

Jie Luo, Carlo Longhi, Agoston E. Eiben

2 citations

2303.12594v32023arXiv

How the History of Changing Environments Affects Traits of Evolvable Robot Populations.

Miras, Karine, Eiben, A E

1 citation

357673752022Artificial life. 2022;28(2):224-239

The Effects of Learning in Morphologically Evolving Robot Systems.

Luo, Jie, Stuurman, Aart C, Tomczak, Jakub M et al.

18 citations

357125482022Frontiers in robotics and AI. 2022;9:797393

Environment induced emergence of collective behaviour in evolving swarms with limited sensing

Fuda van Diggelen, Jie Luo, Tugay Alperen Karaguzel et al.

0 citations

2203.11585v22022arXiv

Comparing lifetime learning methods for morphologically evolving robots

Fuda van Diggelen, Eliseo Ferrante, A.E. Eiben

5 citations

2203.03967v12022arXiv

Robot Evolution: Ethical Concerns.

Eiben, Ágoston E, Ellers, Jacintha, Meynen, Gerben et al.

12 citations

348052902021Frontiers in robotics and AI. 2021;8:744590

Heritability in Morphological Robot Evolution

Matteo De Carlo, Eliseo Ferrante, Daan Zeeuwe et al.

1 citation

2110.11187v12021arXiv

Real-World Robot Evolution: Why Would it (not) Work?

Eiben, A E

13 citations

343865252024Frontiers in robotics and AI. 2021;8:696452

Gait-learning with morphologically evolving robots generated by L-system

Jie Luo, Daan Zeeuwe, Agoston E. Eiben

2 citations

2107.08249v22021arXiv

Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots

Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein et al.

2 citations

2107.05249v12021arXiv

Behavior-based Neuroevolutionary Training in Reinforcement Learning

Jorg Stork, Martin Zaefferer, Nils Eisler et al.

5 citations

2105.07960v12021arXiv

A coevolutionary approach to deep multi-agent reinforcement learning

Daan Klijn, A.E. Eiben

12 citations

2104.05610v22021arXiv

Morpho-evolution with learning using a controller archive as an inheritance mechanism

L'eni K. Le Goff, Edgar Buchanan, Emma Hart et al.

16 citations

2104.04269v22021arXiv

pH-RL: A personalization architecture to bring reinforcement learning to health practice

Ali el Hassouni, Mark Hoogendoorn, Marketa Ciharova et al.

4 citations

2103.15908v22021arXiv

Generating Human-Like Movement: A Comparison Between Two Approaches Based on Environmental Features

A. Zonta, S.K. Smit, A.E. Eiben

0 citations

2012.06474v12020arXiv

Learning Locomotion Skills in Evolvable Robots

Gongjin Lan, Maarten van Hooft, Matteo De Carlo et al.

18 citations

2010.09531v12020arXiv

Environmental Regulation Using Plasticoding for the Evolution of Robots.

Miras, Karine, Ferrante, Eliseo, Eiben, A E

7 citations

335012742021Frontiers in robotics and AI. 2020;7:107

Population-based Optimization for Kinetic Parameter Identification in Glycolytic Pathway in Saccharomyces cerevisiae

Ewelina Weglarz-Tomczak, Jakub M. Tomczak, Agoston E. Eiben et al.

0 citations

2010.06456v12020arXiv

EVO-RL: Evolutionary-Driven Reinforcement Learning

Ahmed Hallawa, Thorsten Born, Anke Schmeink et al.

5 citations

2007.04725v22020arXiv

Environmental influences on evolvable robots.

Miras, Karine, Ferrante, Eliseo, Eiben, A E

37 citations

324700762020PloS one. 2020;15(5):e0233848

DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics

Stephane Doncieux (ISIR), Nicolas Bredeche (ISIR), L'eni Le Goff (ISIR) et al.

13 citations

2005.06223v12020arXiv

Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm

Gongjin Lan, Jakub M. Tomczak, Diederik M. Roijers et al.

82 citations

2005.04166v12020arXiv

Differential Evolution with Reversible Linear Transformations

Jakub M. Tomczak, Ewelina Weglarz-Tomczak, Agoston E. Eiben

3 citations

2002.02869v12020arXiv

Learning Directed Locomotion in Modular Robots with Evolvable Morphologies

Gongjin Lan, Matteo De Carlo, Fuda van Diggelen et al.

32 citations

2001.07804v12020arXiv

EvoMan: Game-playing Competition

Fabricio Olivetti de Franca, Denis Fantinato, Karine Miras et al.

2 citations

1912.10445v32019arXiv

Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning

Jorg Stork, Martin Zaefferer, Thomas Bartz-Beielstein et al.

10 citations

1907.09300v120192019, Genetic and Evolutionary Computation Conference (GECCO 2019), Prague, Czech Republic. ACM, New York, NY, USA

Importance of Parameter Settings on the Benefits of Robot-to-Robot Learning in Evolutionary Robotics.

Heinerman, Jacqueline, Haasdijk, Evert, Eiben, A E

1 citation

335010272021Frontiers in robotics and AI. 2019;6:10

Lamarckian Evolution of Simulated Modular Robots.

Jelisavcic, Milan, Glette, Kyrre, Haasdijk, Evert et al.

33 citations

335010262021Frontiers in robotics and AI. 2019;6:9

Evolving embodied intelligence from materials to machines

David Howard, Agoston E. Eiben, Danielle Frances Kennedy et al.

163 citations

1901.05704v12019Nature Machine Intelligence. Vol. 1, Number 1, pages 12--19. 2019

A new Taxonomy of Continuous Global Optimization Algorithms

Jorg Stork, A.E. Eiben, Thomas Bartz-Beielstein

128 citations

1808.08818v22018Natural Computing, 2020, 1-24

A clustering-based reinforcement learning approach for tailored personalization of e-Health interventions

Ali el Hassouni, Mark Hoogendoorn, Martijn van Otterlo et al.

2 citations

1804.03592v32018arXiv

Assessment of temporal predictive models for health care using a formal method.

van Breda, Ward, Hoogendoorn, Mark, Eiben, A E et al.

6 citations

286510702018Computers in biology and medicine. 2017;87:347-357

Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO

Lu'is F. Simoes, Dario Izzo, Evert Haasdijk et al.

37 citations

1704.00702v12017EvoCOP 2017, LNCS 10197, pp. 141-156, 2017

Real-World Evolution of Robot Morphologies: A Proof of Concept.

Jelisavcic, Milan, de Carlo, Matteo, Hupkes, Elte et al.

54 citations

285132012019Artificial life. 2017;23(2):206-235

Career total: 516 works. 56 are in this corpus.Showing the 50 most recent.

Profile built from the corpus for this byline.

516

works

22.8K

citations

57

h-index

Corpus papers per year

Corpus papers per year, 1997 to 2026. Busiest year 2020, 10 papers.
Year	Papers
1997	1
1998	0
1999	0
2000	0
2001	0
2002	0
2003	0
2004	0
2005	0
2006	0
2007	0
2008	0
2009	0
2010	0
2011	1
2012	1
2013	0
2014	1
2015	1
2016	0
2017	4
2018	2
2019	5
2020	10
2021	10
2022	3
2023	5
2024	6
2025	4
2026	2

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