Roxana Radulescu

According to our database, Roxana Radulescu authored at least 29 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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, Roxana Radulescu

CoRR, 2024

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

CoRR, 2024

The World is a Multi-Objective Multi-Agent System: Now What?

Roxana Radulescu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Learning in Multi-Objective Public Goods Games with Non-Linear Utilities.

Nicole Orzan, Erman Acar, Davide Grossi, Patrick Mannion, Roxana Radulescu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Emergent Cooperation under Uncertain Incentive Alignment.

Nicole Orzan, Erman Acar, Davide Grossi, Roxana Radulescu

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning.

Peter Vamplew, 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

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

A Study of Nash Equilibria in Multi-Objective Normal-Form Games.

Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Bridging the Gap Between Single and Multi Objective Games.

Willem Röpke, Carla Groenland, Roxana Radulescu, Ann Nowé, Diederik M. Roijers

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 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, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Scalar Reward is Not Enough.

Peter Vamplew, 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

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

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

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

Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021).

Peter Vamplew, 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

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

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, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers

Auton. Agents Multi Agent Syst., 2022

2021

Preference Communication in Multi-Objective Normal-Form Games.

Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu

CoRR, 2021

2020

Toll-based reinforcement learning for efficient equilibria in route choice.

Gabriel de Oliveira Ramos, Bruno C. da Silva, Roxana Radulescu, Ana L. C. Bazzan, Ann Nowé

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

Special issue on adaptive and learning agents 2019.

Patrick Mannion, Patrick MacAlpine, Bei Peng, Roxana Radulescu

Knowl. Eng. Rev., 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

Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games.

Yijie Zhang, Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences.

Gabriel de Oliveira Ramos, Roxana Radulescu, Ann Nowé, Anderson R. Tavares

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

A Utility-Based Perspective on Multi-Objective Multi-Agent Decision Making.

Roxana Radulescu

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

DuStt - A Speech-to-Text Engine for Dutch.

Willem Röpke, Roxana Radulescu, Kyriakos Efthymiadis, Ann Nowé

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Training a Speech-to-Text Model for Dutch on the Corpus Gesproken Nederlands.

Willem Röpke, Roxana Radulescu, Kyriakos Efthymiadis, Ann Nowé

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

Deep Multi-agent Reinforcement Learning in a Homogeneous Open Population.

Roxana Radulescu, Manon Legrand, Kyriakos Efthymiadis, Diederik M. Roijers, Ann Nowé

Proceedings of the Artificial Intelligence - 30th Benelux Conference, 2018

2017

Analysing Congestion Problems in Multi-agent Reinforcement Learning.

Roxana Radulescu, Peter Vrancx, Ann Nowé

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016

Smart Grid Demonstration Platform for Renewable Energy Exchange.

Mihail Mihaylov, Iván S. Razo-Zapata, Roxana Radulescu, Sergio Jurado, Narcís Avellana, Ann Nowé

Proceedings of the Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection, 2016