| Reinforcement learning for personalization: A systematic literature review F Den Hengst, EM Grua, A el Hassouni, M Hoogendoorn Data Science 3 (2), 107-147, 2020 | 41 | 2020 |
| Reinforcement learning for personalized dialogue management F Den Hengst, M Hoogendoorn, F Van Harmelen, J Bosman IEEE/WIC/ACM International Conference on Web Intelligence, 59-67, 2019 | 21 | 2019 |
| Planning for potential: efficient safe reinforcement learning F Den Hengst, V François-Lavet, M Hoogendoorn, F van Harmelen Machine Learning 111 (6), 2255-2274, 2022 | 13 | 2022 |
| Reinforcement learning with option machines F Den Hengst, V François-Lavet, M Hoogendoorn, F van Harmelen 31st International Joint Conference on Artificial Intelligence, IJCAI 2022 …, 2022 | 8 | 2022 |
| Release of the systematic literature review into reinforcement learning for personalization F den Hengst, E Grua, A el Hassouni, M Hoogendoorn Zenodo, 2020 | 5 | 2020 |
| Log parsing evaluation in the era of modern software systems S Petrescu, F Den Hengst, A Uta, JS Rellermeyer 2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023 | 3 | 2023 |
| Does reinforcement learning improve outcomes for critically ill patients? a systematic review and level-of-readiness assessment M Otten, AR Jagesar, TA Dam, LA Biesheuvel, F den Hengst, ... Critical Care Medicine 52 (2), e79-e88, 2024 | 2 | 2024 |
| Collecting high-quality dialogue user satisfaction ratings with third-party annotators M van Zeelt, F den Hengst, SH Hashemi Proceedings of the 2020 Conference on Human Information Interaction and …, 2020 | 2 | 2020 |
| Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition F Hengst, R Wolter, P Altmeyer, A Kaygan arXiv preprint arXiv:2403.18973, 2024 | | 2024 |
| Guideline-informed reinforcement learning for mechanical ventilation in critical care F den Hengst, M Otten, P Elbers, F van Harmelen, V François-Lavet, ... Artificial Intelligence in Medicine 147, 102742, 2024 | | 2024 |
| Explainable Fraud Detection with Deep Symbolic Classification S Visbeek, E Acar, F Hengst arXiv preprint arXiv:2312.00586, 2023 | | 2023 |
| Learning to Behave: Reinforcement Learning in Human Contexts F den Hengst | | 2023 |
| Strategic Workforce Planning with Deep Reinforcement Learning Y Smit, F den Hengst, S Bhulai, E Mehdad International Conference on Machine Learning, Optimization, and Data Science …, 2022 | | 2022 |
| Low-Variance Policy Gradient Estimation with World Models M Nauman, FD Hengst arXiv preprint arXiv:2010.15622, 2020 | | 2020 |
| Detecting Interesting Outliers F den Hengst, M Hoogendoorn, D Jonker | | 2016 |
| VU Research Portal F den Hengst | | |
| VU Research Portal M Nauman, FD Hengst | | |
Mark HoogendoornFull Professor of Artificial Intelligence, Vrije Universiteit AmsterdamVerified email at cs.vu.nl
