Projects per year
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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 Brief Guide to Multi-Objective Reinforcement Learning and Planning: JAAMAS Track
Hayes, C. F., Radulescu, R., Bargiacchi, E., Källström, J., Macfarlane, M., Reymond, M., Verstraeten, T., Zintgraf, L., Dazeley, R., Heintz, F., Howley, E., Irissappane, A. A., Mannion, P., Nowe, A., De Oliveira Ramos, G., Restelli, M., Vamplew, P. & Roijers, D. M., 2023, (Accepted/In press) The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)Research output: Chapter in Book/Report/Conference proceeding › Conference paper
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Fleet-based early fault detection of wind turbine gearboxes using physics-informed deep learning based on cyclic spectral coherence
Perez Sanjines, F. R., Peeters, C., Verstraeten, T., Antoni, J., Nowe, A. & Helsen, J., 15 Feb 2023, In: Mechanical Systems and Signal Processing. 185, 17 p., 109760.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
A deep boosted transfer learning method for wind turbine gearbox fault detection
Jamil, F., Verstraeten, T., Nowé, A., Peeters, C. & Helsen, J., Sep 2022, In: Renewable Energy. 197, p. 331-341 11 p.Research output: Contribution to journal › Article › peer-review
8 Citations (Scopus)73 Downloads (Pure) -
A Practical Guide to Multi-Objective Reinforcement Learning and Planning
Hayes, C. F., Radulescu, R., Bargiacchi, E., Källström, J., Macfarlane, M., Reymond, M., Verstraeten, T., Zintgraf, L., Dazeley, R., Heintz, F., Howley, E., Irissappane, A. A., Mannion, P., Nowe, A., De Oliveira Ramos, G., Restelli, M., Vamplew, P. & Roijers, D. M., 13 Apr 2022, In: Autonomous Agents and Multi-Agent Systems. 36, 1, 59 p., 26.Research output: Contribution to journal › Article › peer-review
Open AccessFile22 Citations (Scopus)90 Downloads (Pure) -
Deep ensemble with Neural Networks to model power-curve uncertainty
Perez Sanjines, F. R., Verstraeten, T., Nowe, A. & Helsen, J., 9 Nov 2022, Journal of Physics: Conference Series: EERA DeepWind Offshore Wind R&D Conference 19/01/2022 - 21/01/2022 Trondheim, Norway. 1 ed. IOP Publishing, Vol. 2362. 10 p. 012029. (Journal of Physics: Conference Series).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open Access
Prizes
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ICTAI Best student paper award
Gomez Marulanda, Felipe (Recipient), Libin, Pieter (Recipient) & Verstraeten, Timothy (Recipient), 7 Nov 2018
Prize: Prize (including medals and awards)
Activities
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Fault detection and degradation trending using hybrid intelligence techniques and multi-source transfer learning
Faras Jamil (Recipient), Jan Helsen (Supervisor), Cédric Peeters (Supervisor), Timothy Verstraeten (Supervisor) & Ann Nowe (Supervisor)
1 Nov 2022 → 31 Oct 2026Activity: Other › Written proposal
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Novel hybrid gearbox signal model development for condition monitoring
Kayacan Kestel (Speaker), Cédric Peeters (Contributor), Timothy Verstraeten (Contributor) & Jan Helsen (Contributor)
25 May 2021 → 28 May 2021Activity: Talk or presentation › Talk or presentation at a conference
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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 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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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
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