Efficient Evaluation of Influenza Mitigation Strategies Using Preventive Bandits. - Pieter Libin; Timothy Verstraeten; Kristof Theys; Diederik M. Roijers; Peter Vrancx; Ann Nowé (AAMAS Workshops (Visionary Papers), 2017)

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 (ICML, 2018)

IPC-Net: 3D Point-Cloud Segmentation Using Deep Inter-Point Convolutional Layers. - Felipe Gomez Marulanda; Pieter Libin; Timothy Verstraeten; Ann Nowé (ICTAI, 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 (ECML/PKDD (3), 2018)

Thompson Sampling for m-top Exploration. - Pieter Libin; Timothy Verstraeten; Diederik M. Roijers; Wenjia Wang; Kristof Theys; Ann Nowé (BNAIC/BENELEARN, 2019)

Privacy Preserving Reinforcement Learning over Distributed Datasets. - Regis Loeb; Timothy Verstraeten; Ann Nowé; Ann Dooms (BNAIC/BENELEARN, 2019)

Failure Avoidance for Wind Turbines through Fleetwide Control. - Timothy Verstraeten; Ann Nowé; Jan Helsen (BNAIC/BENELEARN, 2019)

Deep hybrid approach for 3D plane segmentation. - Felipe Gomez Marulanda; Pieter Libin; Timothy Verstraeten; Ann Nowé (ESANN, 2019)

Bayesian Anytime m-top Exploration. - Pieter Libin; Timothy Verstraeten; Diederik M. Roijers; Wenjia Wang; Kristof Theys; Ann Nowé (ICTAI, 2019)

Fleetwide data-enabled reliability improvement of wind turbines. - Timothy Verstraeten; Ann Nowé; Jonathan Keller; Yi Guo; Shuangwen Sheng; Jan Helsen (CoRR, 2019)

Thompson Sampling for Factored Multi-Agent Bandits. - Timothy Verstraeten; Eugenio Bargiacchi; Pieter J. K. Libin; Diederik M. Roijers; Ann Nowé (AAMAS, 2020)

Fleet Control Using Coregionalized Gaussian Process Policy Iteration. - Timothy Verstraeten; Pieter J. K. Libin; Ann Nowé (ECAI, 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 (ECML/PKDD (5), 2020)

Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping. - Eugenio Bargiacchi; Timothy Verstraeten; Diederik M. Roijers; Ann Nowé (CoRR, 2020)

Cooperative Prioritized Sweeping. - Eugenio Bargiacchi; Timothy Verstraeten; Diederik M. Roijers (AAMAS, 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 (AAMAS, 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)

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; et al. (Auton. Agents Multi Agent Syst., 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)

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)

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; et al. (AAMAS, 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)

Day-Ahead Bidding Strategies for Wind Farm Operators Under a One-Price Balancing Scheme. - Max Bruninx; Timothy Verstraeten; Jalal Kazempour; Jan Helsen (e-Energy, 2025)

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 (Neural Comput. Appl., 2025)