Smart Grid Demonstration Platform for Renewable Energy Exchange. - Mihail Mihaylov; Iván S. Razo-Zapata; Roxana Radulescu; Sergio Jurado; Narcís Avellana; Ann Nowé (PAAMS, 2016)

Analysing Congestion Problems in Multi-agent Reinforcement Learning. - Roxana Radulescu; Peter Vrancx; Ann Nowé (AAMAS, 2017)

Deep Multi-agent Reinforcement Learning in a Homogeneous Open Population. - Roxana Radulescu; Manon Legrand; Kyriakos Efthymiadis; Diederik M. Roijers; Ann Nowé (BNCAI, 2018)

Training a Speech-to-Text Model for Dutch on the Corpus Gesproken Nederlands. - Willem Röpke; Roxana Radulescu; Kyriakos Efthymiadis; Ann Nowé (BNAIC/BENELEARN, 2019)

DuStt - A Speech-to-Text Engine for Dutch. - Willem Röpke; Roxana Radulescu; Kyriakos Efthymiadis; Ann Nowé (BNAIC/BENELEARN, 2019)

A Utility-Based Perspective on Multi-Objective Multi-Agent Decision Making. - Roxana Radulescu (AAMAS, 2020)

Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences. - Gabriel de Oliveira Ramos; Roxana Radulescu; Ann Nowé; Anderson R. Tavares (AAMAS, 2020)

Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games. - Yijie Zhang; Roxana Radulescu; Patrick Mannion; Diederik M. Roijers; Ann Nowé (AAMAS, 2020)

Multi-objective multi-agent decision making: a utility-based analysis and survey. - Roxana Radulescu; Patrick Mannion; Diederik M. Roijers; Ann Nowé (Auton. Agents Multi Agent Syst., 2020)

Special issue on adaptive and learning agents 2019. - Patrick Mannion; Patrick MacAlpine; Bei Peng 001; Roxana Radulescu (Knowl. Eng. Rev., 2020)

A utility-based analysis of equilibria in multi-objective normal-form games. - Roxana Radulescu; Patrick Mannion; Yijie Zhang; Diederik M. Roijers; Ann Nowé (Knowl. Eng. Rev., 2020)

Toll-based reinforcement learning for efficient equilibria in route choice. - Gabriel de Oliveira Ramos; Bruno C. da Silva 001; Roxana Radulescu; Ana L. C. Bazzan; Ann Nowé (Knowl. Eng. Rev., 2020)

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)

On nash equilibria in normal-form games with vectorial payoffs. - Willem Röpke; Diederik M. Roijers; Ann Nowé; Roxana Radulescu (Auton. Agents Multi Agent Syst., 2022)

Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021). - Peter Vamplew 001; Benjamin J. Smith; Johan Källström; Gabriel de Oliveira Ramos; Roxana Radulescu; Diederik M. Roijers; Conor F. Hayes; Fredrik Heintz; Patrick Mannion; Pieter J. K. Libin; Richard Dazeley; Cameron Foale (Auton. Agents Multi Agent Syst., 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)

Special issue on adaptive and learning agents 2020. - Felipe Leno da Silva; Patrick MacAlpine; Roxana Radulescu; Fernando P. Santos; Patrick Mannion (Neural Comput. Appl., 2022)

Scalar Reward is Not Enough. - Peter Vamplew 001; Benjamin J. Smith; Johan Källström; Gabriel de Oliveira Ramos; Roxana Radulescu; Diederik M. Roijers; Conor F. Hayes; Friedrik Hentz; Patrick Mannion; Pieter J. K. Libin; Richard Dazeley; Cameron Foale (AAMAS, 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; et al. (AAMAS, 2023)

Bridging the Gap Between Single and Multi Objective Games. - Willem Röpke; Carla Groenland; Roxana Radulescu; Ann Nowé; Diederik M. Roijers (AAMAS, 2023)

A Study of Nash Equilibria in Multi-Objective Normal-Form Games. - Willem Röpke; Diederik M. Roijers; Ann Nowé; Roxana Radulescu (AAMAS, 2023)

Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. - Peter Vamplew 001; Cameron Foale; Conor F. Hayes; Patrick Mannion; Enda Howley; Richard Dazeley; Scott Johnson; Johan Källström; Gabriel de Oliveira Ramos; Roxana Radulescu; Willem Röpke; Diederik M. Roijers (AAMAS, 2024)

Emergent Cooperation under Uncertain Incentive Alignment. - Nicole Orzan; Erman Acar; Davide Grossi; Roxana Radulescu (AAMAS, 2024)

Learning in Multi-Objective Public Goods Games with Non-Linear Utilities. - Nicole Orzan; Erman Acar; Davide Grossi; Patrick Mannion; Roxana Radulescu (ECAI, 2024)

The World is a Multi-Objective Multi-Agent System: Now What? - Roxana Radulescu (ECAI, 2024)

MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning. - Florian Felten; Umut Ucak; Hicham Azmani; Gao Peng; Willem Röpke; Hendrik Baier; Patrick Mannion; Diederik M. Roijers; Jordan K. Terry; El-Ghazali Talbi; Grégoire Danoy; Ann Nowé; et al. (CoRR, 2024)

Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. - Mathieu Reymond; Conor F. Hayes; Lander Willem; Roxana Radulescu; Steven Abrams; Diederik M. Roijers; Enda Howley; Patrick Mannion; Niel Hens; Ann Nowé; Pieter Libin (Expert Syst. Appl., 2024)

Multi-Objective Reinforcement Learning for Water Management. - Zuzanna Osika; Roxana Radulescu; Jazmin Zatarain Salazar; Frans A. Oliehoek; Pradeep K. Murukannaiah (AAMAS, 2025)

Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning. - Willem Röpke; Mathieu Reymond; Patrick Mannion; Diederik M. Roijers; Ann Nowé; Roxana Radulescu (AAMAS, 2025)

Explainable AI Based Diagnosis of Poisoning Attacks in Evolutionary Swarms. - Mehrdad Asadi; Roxana Radulescu; Ann Nowé (CoRR, 2025)

Preference communication in multi-objective normal-form games. - Willem Röpke; Diederik M. Roijers; Ann Nowé; Roxana Radulescu (Neural Comput. Appl., 2025)

Learning in public goods games: the effects of uncertainty and communication on cooperation. - Nicole Orzan; Erman Acar; Davide Grossi; Roxana Radulescu (Neural Comput. Appl., 2025)