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Jacqueline Heinerman

    20142019

    Research output per year

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    Research Output

    • 6 Conference contribution
    • 4 Article
    • 2 Paper
    • 1 PhD Thesis - Research VU, graduation VU

    Benefits of Social Learning in Physical Robots

    Heinerman, J., Bussmann, B., Groenendijk, R., Krieken, E. V., Slik, J., Tezza, A., Haasdijk, E. & Eiben, A. E., 28 Jan 2019, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. Sundaram, S. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 851-858 8 p. 8628857

    Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

  • Better Together

    Heinerman, J. V., 2019, 270 p.

    Research output: PhD ThesisPhD Thesis - Research VU, graduation VU

    Open Access
    File

    Importance of parameter settings on the benefits of robot-to-robot learning in evolutionary robotics

    Heinerman, J., Haasdijk, E. & Eiben, A. E., 4 Mar 2019, In : Frontiers Robotics AI. 6, MARCH, p. 1-11 11 p., 10.

    Research output: Contribution to JournalArticleAcademicpeer-review

    Open Access
  • Towards empathic deep q-learning

    Bussmann, B., Heinerman, J. & Lehman, J., 11 Aug 2019, Artificial Intelligence Safety 2019: Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), Macao, China, August 11-12, 2019. Espinoza, H., Yu, H., Huang, X., Lecue, F., Chen, C., Hernández-Orallo, J., Ó hÉigeartaigh, S. & Mallah, R. (eds.). CEUR-WS.org, p. 1-7 7 p. (CEUR Workshop Proceedings; vol. 2419).

    Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

  • Quantifying selection pressure

    Haasdijk, E. & Heinerman, J., Jun 2018, In : Evolutionary computation. 26, 2, p. 213-235 23 p.

    Research output: Contribution to JournalArticleAcademicpeer-review