Students

Current students

PhD

• Panos Aronis — “Learning Trade-offs in Multi-Stakeholders Multi-Objective Problems” Utrecht University, 2025–present. Co-promotor.
• Hicham Azmani — “From Theory to Practice: Foundations for Scalable and Human-Aligned Multi-Objective Reinforcement Learning” Vrije Universiteit Brussel, 2023–present. Co-promotor.

Former students

PhD

• Willem Röpke — “Thinking in Trade-Offs: Training Agents to Balance Conflicting Objectives under Uncertainty” Vrije Universiteit Brussel, 2021–2025. Co-promotor. Defended February 2026.
• Nicole Orzan — “Cooperation Under Uncertain Incentive Alignment: A Multi-Agent Reinforcement Learning Perspective” University of Groningen, 2022–2025. Co-promotor. Defended March 2025.

Master

Utrecht University

• L. Holwerda — “Enhancing Graph-Based Multi-Agent Reinforcement Learning for Strategic and Diverse Coordination” 2026.
• R. Franquinet — “DNA4RL: Towards Self-Evolving Deep Reinforcement Learning Architectures” 2026.
• C. Obame Obiang — “Opponent modelling in multi-objective multi-agent decision making” 2026.
• V. Pușcaru — “Understanding AI Agent Intent through Future Actions Visualisation in Hybrid Human-AI Cooperative Games” 2026.
• T. dos Santos Silva Peixoto Carriço — “MORL in Quantitative Finance” 2025.
• G. van de Bunt — “RoboSubSim: Robust Reinforcement Learning Policies Trained Using Sim-to-Real Methods and Aquatic, Randomized, Simple Physics” 2025.

Vrije Universiteit Brussel

• S. Ajridi — “Deconstructing Multi-agent Reinforcement Learning Benchmarks: Revealing The Objectives” Promotor: Ann Nowé, 2022–2023.
• D. Symens — “Utility Modelling in Multi Objective Games” Promotor: Ann Nowé, 2022–2023.
• H. Azmani — “Graph-based Multi-Agent Reinforcement Learning for Adaptive Incentive Design” Promotor: Ann Nowé, 2022–2023.
• P. Vanvolsem — “Machine learning for sports injury prevention: Injury prediction & automated training plan generation” Promotors: Geraint A. Wiggins, Bruno Tassignon, 2022–2023.
• D. A. Atun — “Learning in Multi-Objective Repeated Games with Strategy-Based Payoffs” Promotors: Bart Bogaerts, Ann Nowé, 2021–2022.
• W. Röpke — “Communication in Multi-Objective Multi-Agent Systems” Promotor: Ann Nowé, 2020–2021.
• J. S. Botoko Ekila — “Neural Networks for Executable Semantic Representations” Promotors: Katrien Beuls, Paul Van Eecke, 2019–2020.
• F. R. P. Sanjines — “Successor Representation for Multi-agent Reinforcement Learning” Promotor: Ann Nowé, 2018–2019.
• R. Ding — “Multi-agent Reinforcement Learning for Autonomous Vehicle Platoon Formation” Promotors: Ann Nowé, Wolfgang De Meuter, 2018–2019.
• A. Veeckman — “Deep Reinforcement Learning for Residential Demand Response” Promotor: Ann Nowé, 2017–2018.
• J. de Neve — “AMCEF: An Ambient Framework for Intelligent Data Dissemination in Smart Environments” Promotor: Elisa Gonzalez Boix, 2017–2018.
• M. Legrand — “Deep Reinforcement Learning for Autonomous Vehicle Control Among Human Drivers” Promotors: Tom Lenaerts, Ann Nowé, ULB, 2016–2017.

Bachelor

Utrecht University

• W. C. Rodrigues — “Incorporating Moral Choices in Social Dilemmas with Multi-Objective Reinforcement Learning” June 2026.
• C. Boateng — “A Multimodal Approach to Automating Product Listings with Machine Learning” June 2025.

Vrije Universiteit Brussel

• M. Postiglione — “Extensions of A* for Multi-Agent Pathfinding” Promotor: Ann Nowé, 2023–2024.
• A. De Greef — “Extensions of Conflict Based Search for Multi-Agent Pathfinding” Promotor: Ann Nowé, 2022–2023.
• H. S. Temmerman — “Prioritized planning voor multi-pathfinding” Promotor: Ann Nowé, 2022–2023.
• A. Doukhan — “Multi-Agent Planning in Multi-Criteria Pick-up and Delivery Environment” Promotor: Ann Nowé, 2021–2022.
• H. Azmani — “A Study of Multi-agent Pickup and Delivery Approaches for Automated Warehouse Environments” Promotor: Ann Nowé, 2020–2021.
• E. De Deken — “Analysing Conflict-Based Search for Multi-Agent Planning Settings” Promotor: Ann Nowé, 2020–2021.
• L. L. Willems — “A* Variants for Multi-Agent Path Finding in Warehouse Environments” Promotor: Ann Nowé, 2020–2021.
• D. Aziz — “A Multi-Agent Watershed Management Environment” Promotor: Ann Nowé, 2019–2020.
• W. Röpke — “Building a Speech-to-Text Engine for Dutch” Promotor: Ann Nowé, 2018–2019.
• I. A. Cimpean — “Visual Aid Application” Promotor: Ann Nowé, 2017–2018.
• S. Denys — “Connecting the Smart Grid to a Real Blockchain” Promotor: Ann Nowé, 2017–2018.
• E. Caroes — “Face Recognition App for VUB AI Lab Personnel” Promotor: Ann Nowé, 2017–2018.
• M. Barhdadi — “Treasure Hunt Game with Automatic Checkpoint Detection” Promotor: Ann Nowé, 2017–2018.
• R. Peeters — “Upgrading the smart grid: Building a demonstration platform using Raspberry Pi” Promotor: Ann Nowé, 2016–2017.