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A.E Eiben

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prof. dr. A.E Eiben

 https://orcid.org/0000-0002-3106-4213

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Personal information

A.E. (Guszti) Eiben is a professor of Artificial Intelligence on the Vrije Universiteit Amsterdam. He is one of the early birds of evolutionary computing in Europe (who literally wrote the book) and an expert in evolutionary robotics.

His main research concerns robots that can reproduce, evolve, and learn. His work is published in top journals (Nature, Science) and extensively covered by popular media (e.g., WIRED, New Scientist) in 10 countries.

His long-term goal is to demonstrate that artificial evolution can develop artificial intelligence and to understand the evolutionary interplay between the body and the brain.

Ancillary activities

  • Evolution 2000 | Amstelveen | Bestuurder | 2017-12-24 - present

Ancillary activities are updated daily

Keywords

  • Q Science
  • Evolutionary Computing
  • Adaptive Systems

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

    Muff, J. R., Ito, K., Ang, E. H. W., Miras, K. & Eiben, A. E., 2026, Applications of Evolutionary Computation: 29th European Conference, EvoApplications 2026, Held as Part of EvoStar 2026, Toulouse, France, April 8–10, 2026, Proceedings, Part I. García-Sánchez, P., Díaz Álvarez, J. & Murphy, A. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 1. p. 69-84 16 p. (Lecture Notes in Computer Science; vol. 16524 LNCS)(EvoApplications: International Conference on the Applications of Evolutionary Computation (Part of EvoStar); vol. 2026).

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

  • Active Robot Curriculum Learning from Online Human Demonstrations

    Hou, M., Hindriks, K., Eiben, A. E. & Baraka, K., 2025, 2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI): [Proceedings]. IEEE/ACM, p. 810-818 9 p. (ACM/IEEE International Conference on Human-Robot Interaction).

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
    File
    16 Downloads (Pure)

  • Fertility During Learning in Evolutionary Robot Systems

    Di Matteo, J. M., Weissl, O. & Eiben, A., 2025, GECCO '25: Proceedings of the Genetic and Evolutionary Computation Conference. Ochoa, G. (ed.). Association for Computing Machinery, Inc, p. 131-139 9 p.

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

    Open Access

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

    Hou, M., Hindriks, K., Eiben, A. E. & Baraka, K., 2025, 2025 IEEE International Conference on Robotics and Automation (ICRA): [Proceedings]. Ott, C., Admoni, H., Behnke, S., Bogdan, S., Bolopion, A., Choi, Y., Ficuciello, F., Gans, N., Gosselin, C., Harada, K., Kayacan, E., Kim, H. J., Leutenegger, S., Liu, Z., Maiolino, P., Marques, L., Matsubara, T., Mavromatti, A., Minor, M., O'Kane, J., Park, H. W., Park, H.-W., Rekleitis, I., Renda, F., Ricci, E., Riek, L. D., Sabattini, L., Shen, S., Sun, Y., Wieber, P.-B., Yamane, K. & Yu, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 7392-7398 7 p. (Proceedings - IEEE International Conference on Robotics and Automation).

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
    File
    12 Downloads (Pure)

  • Size Matters: Variable-Length Bones in Evolvable Modular Robots

    Stork, M. A., de Regt, R., Nguyen, D. T. R. & Eiben, A. E., 2025, GECCO '25 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Ochoa, G. (ed.). ACM, p. 183-186 4 p.

    Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
    File
    7 Downloads (Pure)
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  • 15 Membership
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