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
182018
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
132020
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
132018
Fleetwide data-enabled reliability improvement of wind turbines
T Verstraeten, A Nowe, J Keller, Y Guo, S Sheng, J Helsen
Renewable and Sustainable Energy Reviews 109, 428-437, 2019
112019
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
10*2020
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
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
PLoS computational biology 17 (3), e1008688, 2021
42021
Thompson Sampling for m-top Exploration.
P Libin, T Verstraeten, DM Roijers, W Wang, K Theys, A Nowé
BNAIC/BENELEARN, 2019
42019
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
3*
Fleet Control using Coregionalized Gaussian Process Policy Iteration
T Verstraeten, PJK Libin, A Nowé
24th European Conference on Artificial Intelligence, 1571-1578, 2020
22020
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
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
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
A Practical Guide to Multi-Objective Reinforcement Learning and Planning
CF Hayes, R Rădulescu, E Bargiacchi, J Källström, M Macfarlane, ...
arXiv preprint arXiv:2103.09568, 2021
12021
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
12020
Thompson sampling for loosely-coupled multi-agent systems: An application to wind farm control
T Verstraeten, E Bargiacchi, P Libin, J Helsen, DM Roijers, A Nowé
Adaptive and Learning Agents Workshop, 2020
12020
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
Edge computing for advanced vibration signal processing
T Verstraeten, FG Marulanda, C Peeters, PJ Daems, A Nowé, J Helsen
Surveillance, Vishno and AVE conferences, 2019
12019
Cooperative Prioritized Sweeping
E Bargiacchi, T Verstraeten, DM Roijers
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
2021
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