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Algorithm Control: Efficient Learning to Control Algorithm Parameters

Project: Research

Participants

1 - 10 out of 19Page size: 10

Publications

  1. 2024

  2. Published

    Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization

    Benjamins, C., Cenikj, G., Nikolikj, A., Mohan, A., Eftimov, T. & Lindauer, M., 1 Aug 2024, Genetic and Evolutionary Computation Conference (GECCO). p. 563 - 566

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  3. Published

    Verfahren zum Trainieren eines Algorithmus des maschinellen Lernens durch ein bestärkendes Lernverfahren

    Eimer, T. (Inventor), Hutter, F. (Inventor), Lindauer, M. (Inventor) & Biedenkapp, A. (Inventor), 4 Apr 2024, IPC No. G06N20/00, Patent No. DE102022210480A1, 4 Oct 2022, Priority date 4 Oct 2022, Priority No. DE202210210480A

    Research output: Patent

  4. 2023

  5. Published

    Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization

    Benjamins, C., Raponi, E., Jankovic, A., Doerr, C. & Lindauer, M., 24 Jul 2023, GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference Companion. p. 483 - 486 4 p.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  6. Published

    POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning

    Schubert, F., Benjamins, C., Döhler, S., Rosenhahn, B. & Lindauer, M., Apr 2023, In: Transactions on Machine Learning Research. 2023, 4

    Research output: Contribution to journalArticleResearchpeer review

  7. Accepted/In press

    Self-Adjusting Weighted Expected Improvement for Bayesian Optimization

    Benjamins, C., Raponi, E., Jankovic, A., Doerr, C. & Lindauer, M., 2023, (Accepted/In press) AutoML Conference 2023.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  8. 2022

  9. Published

    Automated Dynamic Algorithm Configuration

    Adriaensen, S., Biedenkapp, A., Shala, G., Awad, N., Eimer, T., Lindauer, M. & Hutter, F., 30 Dec 2022, In: Journal of Artificial Intelligence Research. 75, p. 1633-1699 67 p.

    Research output: Contribution to journalArticleResearchpeer review

  10. Published

    Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis

    Benjamins, C., Jankovic, A., Raponi, E., Blom, K. V. D., Lindauer, M. & Doerr, C., 17 Nov 2022.

    Research output: Contribution to conferencePaperResearchpeer review

  11. E-pub ahead of print

    PI is back! Switching Acquisition Functions in Bayesian Optimization

    Benjamins, C., Raponi, E., Jankovic, A., Blom, K. V. D., Santoni, M. L., Lindauer, M. & Doerr, C., 2 Nov 2022, (E-pub ahead of print).

    Research output: Working paper/PreprintPreprint

  12. Published

    METHOD AND DEVICE FOR LEARNING A STRATEGY AND FOR IMPLEMENTING THE STRATEGY

    Adriaenssen, S. (Inventor), Biedenkapp, A. (Inventor), Hutter, F. (Inventor), Shala, G. (Inventor), Lindauer, M. (Inventor) & Awad, N. (Inventor), 27 Jan 2022, IPC No. G06N 3/ 12 A I, Patent No. US2022027743, Priority date 23 Jul 2020, Priority No. DE202010209281

    Research output: Patent

  13. Published

    Verfahren und Vorrichtung zum Lernen einer Strategie und Betreiben der Strategie

    Adriaenssen, S. (Inventor), Biedenkapp, A. (Inventor), Hutter, F. (Inventor), Shala, G. (Inventor), Lindauer, M. (Inventor) & Awad, N. (Inventor), 27 Jan 2022, IPC No. G06N 3/ 08 A I, Patent No. DE102020209281, Priority date 23 Jul 2020, Priority No. DE202010209281

    Research output: Patent

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