| 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 | 17 | 2018 |
| 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 | 13 | 2018 |
| 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 | 11 | 2020 |
| 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 | 10 | 2019 |
| 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 | 9* | 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 | 5 | 2017 |
| 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 | 4 | 2021 |
| Thompson Sampling for m-top Exploration. P Libin, T Verstraeten, DM Roijers, W Wang, K Theys, A Nowé BNAIC/BENELEARN, 2019 | 4 | 2019 |
| 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 | 2 | 2020 |
| 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 | 2 | 2019 |
| 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 | 2 | 2018 |
| Reinforcement learning for fleet applications using coregionalized gaussian processes T Verstraeten, A Nowé Adaptive Learning Agents (ALA) Workshop at AAMAS). IFAAMAS 57, 2018 | 2 | 2018 |
| 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 | 1 | 2020 |
| Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping E Bargiacchi, T Verstraeten, DM Roijers, A Nowé arXiv preprint arXiv:2001.07527, 2020 | 1 | 2020 |
| 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 | 1 | 2020 |
| 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 | 1 | 2019 |
| 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 | 1 | 2018 |
| Effects of wake on gearbox design load cases identified from fleet-wide operational data PJ Daems, T Verstraeten, C Peeters, J Helsen Forschung im Ingenieurwesen, 1-6, 2021 | | 2021 |
| 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 | | 2021 |
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