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Dive into the research topics where Timothy Verstraeten is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Finished
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FWOSB27: Robust Fleet-Wide Reinforcement Learning
Nowe, A., Verstraeten, T. & Helsen, J.
1/01/17 → 31/12/20
Project: Fundamental
Research output
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A Multi-Agent Reinforcement Learning Approach to Wind Farm Control
Verstraeten, T., 11 Mar 2021Research output: Thesis › PhD Thesis
Open Access -
Assessing the feasibility and effectiveness of household-pooled universal testing to control COVID-19 epidemics
Libin, P. J. K., Willem, L., Verstraeten, T., Torneri, A., Vanderlocht, J. & Hens, N., 9 Mar 2021, In : PLoS Computational Biology. 17, 3, 22 p., e1008688.Research output: Contribution to journal › Article
3 Citations (Scopus) -
Condition Monitoring of Wind Turbines with Semantic Reasoning on Temperature Anomalies
Chesterman, X., Verstraeten, T., Daems, P-J. & Helsen, J., 2021, (Unpublished).Research output: Unpublished contribution to conference › Unpublished abstract
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Cooperative Prioritized Sweeping
Bargiacchi, E., Verstraeten, T. & Roijers, D. M., 2021, Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021. IFAAMAS, p. 160-168 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
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Deep Reinforcement Learning for Large-Scale Epidemic Control
Libin, P., Moonens, A., Verstraeten, T., Perez Sanjines, F. R., Hens, N., Lemey, P. & Nowe, A., 1 Jan 2021, Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V. Dong, Y., Ifrim, G., Mladenić, D., Saunders, C. & Van Hoecke, S. (eds.). Ghent, Belgium: Springer, Vol. 5. p. 155-170 16 p. (Lecture Notes in Computer Science; vol. 12461).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open Access1 Citation (Scopus)
Prizes
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ICTAI Best student paper award
Felipe Gomez Marulanda (Recipient), Pieter Libin (Recipient) & Timothy Verstraeten (Recipient), 7 Nov 2018
Prize: Prize (including medals and awards)
Activities
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Fleet-Wide Policy Iteration using Gaussian Processes
Timothy Verstraeten (Speaker)28 Feb 2020Activity: Talk or presentation › Talk or presentation at a workshop/seminar
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Thompson Sampling for Factored Multi-Agent Bandits
Timothy Verstraeten (Speaker)9 May 2020 → 13 May 2020Activity: Talk or presentation › Talk or presentation at a conference
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Fleet-Wide Control using Coregionalized Gaussian Processes
Timothy Verstraeten (Speaker)26 Feb 2020Activity: Talk or presentation › Talk or presentation at a workshop/seminar
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Fleet Control using Coregionalized Gaussian Process Policy Iteration
Timothy Verstraeten (Speaker)29 Aug 2020 → 8 Sep 2020Activity: Talk or presentation › Talk or presentation at a conference
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Boundary Focused Thompson sampling
Pieter Libin (Speaker), Timothy Verstraeten (Contributor), Diederik Roijers (Contributor), Wenjia Wang (Contributor), Kristof Theys (Contributor), Ann Nowe (Contributor)14 May 2019Activity: Talk or presentation › Talk or presentation at a workshop/seminar
Thesis
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Modeling Exoskeleton-Assisted Human Motion Using Gaussian Processes
Author: Verstraeten, T., Sep 2015Supervisor: Harutyunyan, A. (Advisor) & Nowe, A. (Promotor)
Student thesis: Master's Thesis