Timothy Verstraeten

According to our database, Timothy Verstraeten authored at least 23 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration.

Alexandra Cimpean, Timothy Verstraeten, Lander Willem, Niel Hens, Ann Nowé, Pieter Libin

CoRR, 2023

A Brief Guide to Multi-Objective Reinforcement Learning and Planning.

Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Opponent learning awareness and modelling in multi-objective normal form games.

Roxana Radulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé

Neural Comput. Appl., 2022

Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models.

Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion

CoRR, 2022

A practical guide to multi-objective reinforcement learning and planning.

Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers

Auton. Agents Multi Agent Syst., 2022

2021

Assessing the feasibility and effectiveness of household-pooled universal testing to control COVID-19 epidemics.

Pieter J. K. Libin, Lander Willem, Timothy Verstraeten, Andrea Torneri, Joris Vanderlocht, Niel Hens

PLoS Comput. Biol., 2021

Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making.

Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion

CoRR, 2021

Scalable Optimization for Wind Farm Control using Coordination Graphs.

Timothy Verstraeten, Pieter-Jan Daems, Eugenio Bargiacchi, Diederik M. Roijers, Pieter J. K. Libin, Jan Helsen

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Cooperative Prioritized Sweeping.

Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping.

Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers, Ann Nowé

CoRR, 2020

Deep Reinforcement Learning for Large-Scale Epidemic Control.

Pieter J. K. Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Fleet Control Using Coregionalized Gaussian Process Policy Iteration.

Timothy Verstraeten, Pieter J. K. Libin, Ann Nowé

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Thompson Sampling for Factored Multi-Agent Bandits.

Timothy Verstraeten, Eugenio Bargiacchi, Pieter J. K. Libin, Diederik M. Roijers, Ann Nowé

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Fleetwide data-enabled reliability improvement of wind turbines.

Timothy Verstraeten, Ann Nowé, Jonathan Keller, Yi Guo, Shuangwen Sheng, Jan Helsen

CoRR, 2019

Bayesian Anytime m-top Exploration.

Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Deep hybrid approach for 3D plane segmentation.

Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Failure Avoidance for Wind Turbines through Fleetwide Control.

Timothy Verstraeten, Ann Nowé, Jan Helsen

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Privacy Preserving Reinforcement Learning over Distributed Datasets.

Regis Loeb, Timothy Verstraeten, Ann Nowé, Ann Dooms

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Thompson Sampling for m-top Exploration.

Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies.

Pieter J. K. Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey, Ann Nowé

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

IPC-Net: 3D Point-Cloud Segmentation Using Deep Inter-Point Convolutional Layers.

Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems.

Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers, Ann Nowé, Hado van Hasselt

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Efficient Evaluation of Influenza Mitigation Strategies Using Preventive Bandits.

Pieter Libin, Timothy Verstraeten, Kristof Theys, Diederik M. Roijers, Peter Vrancx, Ann Nowé

Proceedings of the Autonomous Agents and Multiagent Systems, 2017