Onderzoeksoutput

Onderzoeksoutput per jaar 2018 2018 2019 2020 2023 2023

• 92 Citaties
• 2 h-index
• 5 Conference paper
• 1 Poster
• 1 Article

Onderzoeksoutput per jaar

Onderzoeksoutput per jaar

Zoekresultaten

• 2023

  Dealing with Expert Bias in Collective Decision-Making

  Abels, A., Lenaerts, T., Trianni, V. & Nowe, A., jul 2023, In: Artificial Intelligence. 320, 22 blz., 103921.

  Onderzoeksoutput: Article › peer review

  • collective decision 100%
  • Decision making 54%
  • decision making 47%
  • expert 47%
  • Decision Making 42%
  2 Citaten (Scopus)

• Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making

  Abels, A., Lenaerts, T., Trianni, V. & Nowe, A., jul 2023, Proceedings of the 40th International Conference on Machine Learning. JMLR, Vol. 202. blz. 79-90 12 blz. (Proceedings of Machine Learning Research).

  Onderzoeksoutput: Conference paper

  Open Access

  • Decision making 100%
  • Trees (mathematics) 78%
  • Decision trees 67%
• 2020

  Collective Decision-Making as a Contextual Multi-armed Bandit Problem

  Abels, A., Lenaerts, T., Trianni, V. & Nowé, A., nov 2020, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, blz. 113-124 12 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12496 LNAI).

  Onderzoeksoutput: Conference paper

  • Decision making 100%

• How Expert Confidence Can Improve Collective Decision-Making in Contextual Multi-Armed Bandit Problems

  Abels, A., Lenaerts, T., Trianni, V. & Nowé, A., nov 2020, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, blz. 125-138 14 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12496 LNAI).

  Onderzoeksoutput: Conference paper

  • Decision making 100%
  2 Citaten (Scopus)
• 2019

  Dynamic weights in multi-objective deep reinforcement learning

  Abels, A., Roijers, D. M., Lenaerts, T., Nowe, A. & Steckelmacher, D., 2019, 36th International Conference on Machine Learning, ICML 2019 . International Machine Learning Society (IMLS), Vol. 97. blz. 11-20 (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

  Onderzoeksoutput: Conference paper

  Open Access

  Bestand

  • Reinforcement learning 100%
  • Learning algorithms 27%
  88 Citaten (Scopus)

  431 Downloads (Pure)

• Dynamic Weights in Multi-Objective Deep Reinforcement Learning

  Abels, A., Roijers, D. M., Lenaerts, T., Nowe, A. & Steckelmacher, D., 9 jun 2019.

  Onderzoeksoutput: Poster
• 2018

  Thesis abstract: Dynamic Weights in Multi-Objective Reinforcement Learning

  Abels, A., Roijers, D. M. & Lenaerts, T., 8 nov 2018, 30th Benelux Conference, BNAIC 2018. Atzmueller, M. & Duivesteijn, W. (redactie). Springer, (BNAIC).

  Onderzoeksoutput: Conference paper

  Open Access