Roxana Radulescu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 39

Top Topics

Normal Form Games

Reinforcement Learning

Multi Objective Optimization

Top Venues

Auton. Agents Multi Agent Syst.

Knowl. Eng. Rev.

Publications

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
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. CoRR (2024)
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
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. AAMAS (2024)
Nicole Orzan, Erman Acar, Davide Grossi, Roxana Radulescu
Emergent Cooperation under Uncertain Incentive Alignment. AAMAS (2024)
Nicole Orzan, Erman Acar, Davide Grossi, Roxana Radulescu
Emergent Cooperation under Uncertain Incentive Alignment. CoRR (2024)
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
MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning. CoRR (2024)
Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. Expert Syst. Appl. 249 (2024)
Willem Röpke, Mathieu Reymond, Patrick Mannion, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning. CoRR (2024)
Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
A Study of Nash Equilibria in Multi-Objective Normal-Form Games. AAMAS (2023)
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
A Brief Guide to Multi-Objective Reinforcement Learning and Planning. AAMAS (2023)
Willem Röpke, Carla Groenland, Roxana Radulescu, Ann Nowé, Diederik M. Roijers
Bridging the Gap Between Single and Multi Objective Games. CoRR (2023)
Willem Röpke, Carla Groenland, Roxana Radulescu, Ann Nowé, Diederik M. Roijers
Bridging the Gap Between Single and Multi Objective Games. AAMAS (2023)
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
Scalar Reward is Not Enough. AAMAS (2023)
Roxana Radulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé
Opponent learning awareness and modelling in multi-objective normal form games. Neural Comput. Appl. 34 (3) (2022)
Felipe Leno da Silva, Patrick MacAlpine, Roxana Radulescu, Fernando P. Santos, Patrick Mannion
Special issue on adaptive and learning agents 2020. Neural Comput. Appl. 34 (3) (2022)
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
Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021). Auton. Agents Multi Agent Syst. 36 (2) (2022)
Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
On nash equilibria in normal-form games with vectorial payoffs. Auton. Agents Multi Agent Syst. 36 (2) (2022)
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
A practical guide to multi-objective reinforcement learning and planning. Auton. Agents Multi Agent Syst. 36 (1) (2022)
Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. CoRR (2022)
Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
Preference Communication in Multi-Objective Normal-Form Games. CoRR (2021)
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
A Practical Guide to Multi-Objective Reinforcement Learning and Planning. CoRR (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
Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021). CoRR (2021)
Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
On Nash Equilibria in Normal-Form Games With Vectorial Payoffs. CoRR (2021)
Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey. AAMAS (2020)
Gabriel de Oliveira Ramos, Bruno C. da Silva, Roxana Radulescu, Ana L. C. Bazzan, Ann Nowé
Toll-based reinforcement learning for efficient equilibria in route choice. Knowl. Eng. Rev. 35 (2020)
Roxana Radulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé
Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games. CoRR (2020)
Roxana Radulescu, Patrick Mannion, Yijie Zhang, Diederik M. Roijers, Ann Nowé
A utility-based analysis of equilibria in multi-objective normal form games. CoRR (2020)
Roxana Radulescu
A Utility-Based Perspective on Multi-Objective Multi-Agent Decision Making. AAMAS (2020)
Yijie Zhang, Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé
Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games. AAMAS (2020)
Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé
Multi-objective multi-agent decision making: a utility-based analysis and survey. Auton. Agents Multi Agent Syst. 34 (1) (2020)
Patrick Mannion, Patrick MacAlpine, Bei Peng, Roxana Radulescu
Special issue on adaptive and learning agents 2019. Knowl. Eng. Rev. 35 (2020)
Roxana Radulescu, Patrick Mannion, Yijie Zhang, Diederik M. Roijers, Ann Nowé
A utility-based analysis of equilibria in multi-objective normal-form games. Knowl. Eng. Rev. 35 (2020)
Gabriel de Oliveira Ramos, Roxana Radulescu, Ann Nowé, Anderson R. Tavares
Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences. AAMAS (2020)
Willem Röpke, Roxana Radulescu, Kyriakos Efthymiadis, Ann Nowé
Training a Speech-to-Text Model for Dutch on the Corpus Gesproken Nederlands. BNAIC/BENELEARN (2019)
Willem Röpke, Roxana Radulescu, Kyriakos Efthymiadis, Ann Nowé
DuStt - A Speech-to-Text Engine for Dutch. BNAIC/BENELEARN (2019)
Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey. CoRR (2019)
Roxana Radulescu, Manon Legrand, Kyriakos Efthymiadis, Diederik M. Roijers, Ann Nowé
Deep Multi-agent Reinforcement Learning in a Homogeneous Open Population. BNCAI (2018)
Roxana Radulescu, Peter Vrancx, Ann Nowé
Analysing Congestion Problems in Multi-agent Reinforcement Learning. CoRR (2017)
Roxana Radulescu, Peter Vrancx, Ann Nowé
Analysing Congestion Problems in Multi-agent Reinforcement Learning. AAMAS (2017)
Mihail Mihaylov, Iván S. Razo-Zapata, Roxana Radulescu, Sergio Jurado, Narcís Avellana, Ann Nowé
Smart Grid Demonstration Platform for Renewable Energy Exchange. PAAMS (2016)