Timothy Verstraeten
Timothy Verstraeten
Doctoral Researcher in Computer Science, Vrije Universiteit Brussel
Verified email at vub.ac.be
Title
Cited by
Cited by
Year
Learning to coordinate with coordination graphs in repeated single-stage multi-agent decision problems
E Bargiacchi, T Verstraeten, D Roijers, A Nowé, H Hasselt
International conference on machine learning, 482-490, 2018
132018
Bayesian best-arm identification for selecting influenza mitigation strategies
PJK Libin, T Verstraeten, DM Roijers, J Grujic, K Theys, P Lemey, A Nowé
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
122018
Deep reinforcement learning for large-scale epidemic control
P Libin, A Moonens, T Verstraeten, F Perez-Sanjines, N Hens, P Lemey, ...
arXiv preprint arXiv:2003.13676, 2020
92020
Fleetwide data-enabled reliability improvement of wind turbines
T Verstraeten, A Nowé, J Keller, Y Guo, S Sheng, J Helsen
Renewable and Sustainable Energy Reviews 109, 428-437, 2019
62019
Efficient evaluation of influenza mitigation strategies using preventive bandits
P Libin, T Verstraeten, K Theys, DM Roijers, P Vrancx, A Nowé
International Conference on Autonomous Agents and Multiagent Systems, 67-85, 2017
52017
Multi-Agent thompson Sampling for Bandit Applications with Sparse neighbourhood Structures
T Verstraeten, E Bargiacchi, PJK Libin, J Helsen, DM Roijers, A Nowé
Scientific Reports 10 (1), 1-13, 2020
42020
Thompson Sampling for m-top Exploration.
P Libin, T Verstraeten, DM Roijers, W Wang, K Theys, A Nowé
BNAIC/BENELEARN, 2019
32019
Bayesian Anytime m-top Exploration
P Libin, T Verstraeten, DM Roijers, W Wang, K Theys, A Nowe
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
22019
IPC-Net: 3D point-cloud segmentation using deep inter-point convolutional layers
FG Marulanda, P Libin, T Verstraeten, A Nowé
2018 IEEE 30th International Conference on Tools with Artificial …, 2018
22018
Reinforcement learning for fleet applications using coregionalized gaussian processes
T Verstraeten, A Nowé
Adaptive Learning Agents (ALA) Workshop at AAMAS). IFAAMAS 57, 2018
22018
Fleet-oriented pattern mining combined with time series signature extraction for understanding of wind farm response to storm conditions
PJ Daems, L Feremans, T Verstraeten, B Cule, B Goethals, J Helsen
2*
Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping
E Bargiacchi, T Verstraeten, DM Roijers, A Nowé
arXiv preprint arXiv:2001.07527, 2020
12020
Fleet Control using Coregionalized Gaussian Process Policy Iteration
T Verstraeten, PJK Libin, A Nowé
European Conference on Artificial Intelligence, 2020
12020
Thompson sampling for loosely-coupled multi-agent systems: An application to wind farm control
T Verstraeten, E Bargiacchi, PJ Libin, J Helsen, DM Roijers, A Nowé
Adaptive and Learning Agents Workshop, 2020
12020
Fleet-wide condition monitoring combining vibration signal processing and machine learning rolled out in a cloud-computing environment
J Helsen, C Peeters, T Verstraeten, J Verbeke, N Gioia, A Nowé
International Conference on Noise and Vibration Engineering (ISMA), 2018
12018
Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games
R Rădulescu, T Verstraeten, Y Zhang, P Mannion, DM Roijers, A Nowé
arXiv preprint arXiv:2011.07290, 2020
2020
Assessing the feasibility and effectiveness of household-pooled universal testing to control COVID-19 epidemics
PJK Libin, L Willem, T Verstraeten, A Torneri, J Vanderlocht, N Hens
medRxiv, 2020
2020
Combining Machine Learning and Operational Modal Analysis Approaches to Gain Insights in Wind Turbine Drivetrain Dynamics
N Gioia, PJ Daems, T Verstraeten, P Guillaume, J Helsen
Topics in Modal Analysis & Testing, Volume 8, 293-299, 2020
2020
Advanced Vibration Signal Processing Using Edge Computing to Monitor Wind Turbine Drivetrains
C Peeters, T Verstraeten, A Nowé, PJ Daems, J Helsen
International Conference on Offshore Mechanics and Arctic Engineering 59353 …, 2019
2019
IPC-Net: 3D point-cloud segmentation using deep inter-point convolutional layers
F Gomez Marulanda, P Libin, T Verstraeten, A Nowé
arXiv, arXiv: 1909.13726, 2019
2019
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