On nash equilibria in normal-form games with vectorial payoffs W Röpke, DM Roijers, A Nowé, R Rădulescu Autonomous Agents and Multi-Agent Systems 36 (2), 53, 2022 | 11 | 2022 |
On following pareto-optimal policies in multi-objective planning and reinforcement learning DM Roijers, W Röpke, A Nowé, R Rădulescu Proceedings of the multi-objective decision making (modem) workshop, 1-1, 2021 | 11 | 2021 |
Preference communication in multi-objective normal-form games W Röpke, DM Roijers, A Nowé, R Rădulescu Neural Computing and Applications, 1-26, 2022 | 7 | 2022 |
Training a Speech-to-Text Model for Dutch on the Corpus Gesproken Nederlands. W Röpke, R Radulescu, K Efthymiadis, A Nowé Bnaic/benelearn, 2019 | 7 | 2019 |
Distributional Multi-Objective Decision Making W Röpke, CF Hayes, P Mannion, E Howley, A Nowé, DM Roijers Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 6 | 2023 |
Bridging the gap between single and multi objective games W Röpke, C Groenland, R Rădulescu, A Nowé, DM Roijers arXiv preprint arXiv:2301.05755, 2023 | 6 | 2023 |
Communication strategies in multi-objective normal-form games W Röpke, R Radulescu, DM Roijers, A Nowé Adaptive and learning agents workshop at AAMAS, 2021 | 6 | 2021 |
Fairness in transport network design—A multi-objective reinforcement learning approach D Michailidis, W Röpke, S Ghebreab, DM Roijers, FP Santos 2023 Adaptive and Learning Agents Workshop at AAMAS, 2023 | 4 | 2023 |
Divide and conquer: Provably unveiling the pareto front with multi-objective reinforcement learning W Röpke, M Reymond, P Mannion, DM Roijers, A Nowé, R Rădulescu arXiv preprint arXiv:2402.07182, 2024 | 3 | 2024 |
Reinforcement learning in multi-objective multi-agent systems W Röpke Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | 3 | 2023 |
Commitment and cyclic strategies in multi-objective games W Röpke, R Radulescu, A Nowé, DM Roijers Proceedings of the Adaptive and Learning Agents Workshop (ALA 2022 …, 2022 | 3 | 2022 |
MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning F Felten, U Ucak, H Azmani, G Peng, W Röpke, H Baier, P Mannion, ... arXiv preprint arXiv:2407.16312, 2024 | 2 | 2024 |
Utility-based reinforcement learning: Unifying single-objective and multi-objective reinforcement learning P Vamplew, C Foale, CF Hayes, P Mannion, E Howley, R Dazeley, ... arXiv preprint arXiv:2402.02665, 2024 | 2 | 2024 |
On nash equilibria for multi-objective normal-form games under scalarised expected returns versus expected scalarised returns W Röpke, DM Roijers, A Nowé, R Rădulescu MODeM workshop, 2021 | 2 | 2021 |
Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance D Michailidis, W Röpke, DM Roijers, S Ghebreab, FP Santos arXiv preprint arXiv:2411.18195, 2024 | 1 | 2024 |
Deconstructing reinforcement learning benchmarks: Revealing the objectives S Ajridi, W Röpke, A Nowé, R Radulescu Multi-Objective Decision Making Workshop 2023, 2023 | 1 | 2023 |
Model-Based Reinforcement Learning in Multi-Objective Environments with a Distributional Critic W Röpke, DM Roijers, A Nowé, R Rădulescu, H Baier Multi-objective Decision Making Workshop at ECAI 2024, 2024 | | 2024 |
A Study of Nash Equilibria in Multi-Objective Normal-Form Games W Röpke, DM Roijers, A Nowé, R Rădulescu Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | | 2023 |
Thesis Abstract: Communication In Multi-Objective Games W Röpke, DM Roijers, R Rădulescu, A Nowé BNAIC/BeNeLearn 2022, 2022 | | 2022 |
Multi-Objective Scheduling for Agricultural Interventions W Röpke, S Pollaci, B Vandenbogaerde, J Li, Y Coppens BNAIC/BeNeLearn 2022, 2022 | | 2022 |