Timothy Verstraeten

36 papers A* 1A 5B 3Journal 20Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Herd Behavior in Decentralized Balancing Models: A Case Study in Belgium. CoRR Max Bruninx, Seyed Soroush Karimi Madahi, Timothy Verstraeten, Jan Decuyper, Chris Develder, Jan Helsen
2026	J	`jnl`	Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles. CoRR Max Bruninx, Diederik van Binsbergen, Timothy Verstraeten, Ann Nowé, Jan Helsen
2025	—	`conf`	Day-Ahead Bidding Strategies for Wind Farm Operators Under a One-Price Balancing Scheme. e-Energy Max Bruninx, Timothy Verstraeten, Jalal Kazempour, Jan Helsen
2025	J	`jnl`	Day-Ahead Bidding Strategies for Wind Farm Operators under a One-Price Balancing Scheme. CoRR Max Bruninx, Timothy Verstraeten, Jalal Kazempour, Jan Helsen
2025	J	`jnl`	Expected scalarised returns dominance: a new solution concept for multi-objective decision making. Neural Comput. Appl. Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion
2023	A	`conf`	A Brief Guide to Multi-Objective Reinforcement Learning and Planning. AAMAS 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
2023	J	`jnl`	Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration. CoRR Alexandra Cimpean, Timothy Verstraeten, Lander Willem, Niel Hens, Ann Nowé, Pieter Libin
2022	J	`jnl`	A practical guide to multi-objective reinforcement learning and planning. Auton. Agents Multi Agent Syst. 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
2022	J	`jnl`	Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models. CoRR Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion
2022	J	`jnl`	Opponent learning awareness and modelling in multi-objective normal form games. Neural Comput. Appl. Roxana Radulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2021	J	`jnl`	A Practical Guide to Multi-Objective Reinforcement Learning and Planning. CoRR 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
2021	J	`jnl`	Assessing the feasibility and effectiveness of household-pooled universal testing to control COVID-19 epidemics. PLoS Comput. Biol. Pieter J. K. Libin, Lander Willem, Timothy Verstraeten, Andrea Torneri, Joris Vanderlocht, Niel Hens
2021	A	`conf`	Cooperative Prioritized Sweeping. AAMAS Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers
2021	J	`jnl`	Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making. CoRR Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion
2021	A	`conf`	Scalable Optimization for Wind Farm Control using Coordination Graphs. AAMAS Timothy Verstraeten, Pieter-Jan Daems, Eugenio Bargiacchi, Diederik M. Roijers, Pieter J. K. Libin, Jan Helsen
2021	J	`jnl`	Scalable Optimization for Wind Farm Control using Coordination Graphs. CoRR Timothy Verstraeten, Pieter-Jan Daems, Eugenio Bargiacchi, Diederik M. Roijers, Pieter J. K. Libin, Jan Helsen
2020	—	`conf`	Deep Reinforcement Learning for Large-Scale Epidemic Control. ECML/PKDD (5) Pieter J. K. Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé
2020	J	`jnl`	Deep reinforcement learning for large-scale epidemic control. CoRR Pieter Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé
2020	A	`conf`	Fleet Control Using Coregionalized Gaussian Process Policy Iteration. ECAI Timothy Verstraeten, Pieter J. K. Libin, Ann Nowé
2020	J	`jnl`	Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping. CoRR Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers, Ann Nowé
2020	J	`jnl`	Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games. CoRR Roxana Radulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2020	A	`conf`	Thompson Sampling for Factored Multi-Agent Bandits. AAMAS Timothy Verstraeten, Eugenio Bargiacchi, Pieter J. K. Libin, Diederik M. Roijers, Ann Nowé
2019	B	`conf`	Bayesian Anytime m-top Exploration. ICTAI Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé
2019	B	`conf`	Deep hybrid approach for 3D plane segmentation. ESANN Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé
2019	—	`conf`	Failure Avoidance for Wind Turbines through Fleetwide Control. BNAIC/BENELEARN Timothy Verstraeten, Ann Nowé, Jan Helsen
2019	J	`jnl`	Fleet Control using Coregionalized Gaussian Process Policy Iteration. CoRR Timothy Verstraeten, Pieter J. K. Libin, Ann Nowé
2019	J	`jnl`	Fleetwide data-enabled reliability improvement of wind turbines. CoRR Timothy Verstraeten, Ann Nowé, Jonathan Keller, Yi Guo, Shuangwen Sheng, Jan Helsen
2019	J	`jnl`	IPC-Net: 3D point-cloud segmentation using deep inter-point convolutional layers. CoRR Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé
2019	—	`conf`	Privacy Preserving Reinforcement Learning over Distributed Datasets. BNAIC/BENELEARN Regis Loeb, Timothy Verstraeten, Ann Nowé, Ann Dooms
2019	J	`jnl`	Thompson Sampling for Factored Multi-Agent Bandits. CoRR Timothy Verstraeten, Eugenio Bargiacchi, Pieter J. K. Libin, Diederik M. Roijers, Ann Nowé
2019	—	`conf`	Thompson Sampling for m-top Exploration. BNAIC/BENELEARN Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé
2018	—	`conf`	Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies. ECML/PKDD (3) Pieter J. K. Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey, Ann Nowé
2018	B	`conf`	IPC-Net: 3D Point-Cloud Segmentation Using Deep Inter-Point Convolutional Layers. ICTAI Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé
2018	A*	`conf`	Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems. ICML Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers, Ann Nowé, Hado van Hasselt
2017	J	`jnl`	Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies. CoRR Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey, Ann Nowé
2017	—	`conf`	Efficient Evaluation of Influenza Mitigation Strategies Using Preventive Bandits. AAMAS Workshops (Visionary Papers) Pieter Libin, Timothy Verstraeten, Kristof Theys, Diederik M. Roijers, Peter Vrancx, Ann Nowé