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)

A Virtual Maze Game to Explain Reinforcement Learning. - Youri Coppens; Eugenio Bargiacchi; Ann Nowé (BNAIC/BENELEARN, 2019)

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

Interactive Multi-objective Reinforcement Learning in Multi-armed Bandits with Gaussian Process Utility Models. - Diederik M. Roijers; Luisa M. Zintgraf; Pieter Libin; Mathieu Reymond; Eugenio Bargiacchi; Ann Nowé (ECML/PKDD (3), 2020)

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

AI-Toolbox: A C++ library for Reinforcement Learning and Planning (with Python Bindings). - Eugenio Bargiacchi; Diederik M. Roijers; Ann Nowé (J. Mach. Learn. Res., 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)

Pareto Conditioned Networks. - Mathieu Reymond; Eugenio Bargiacchi; Ann Nowé (AAMAS, 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; et al. (Auton. Agents Multi Agent Syst., 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)

Interactively Learning the User's Utility for Best-Arm Identification in Multi-Objective Multi-Armed Bandits. - Mathieu Reymond; Eugenio Bargiacchi; Diederik M. Roijers; Ann Nowé (AAMAS, 2024)

Online Planning in POMDPs with State-Requests. - Raphaël Avalos; Eugenio Bargiacchi; Ann Nowé; Diederik M. Roijers; Frans A. Oliehoek (RLJ, 2024)