Stebėti
Willem Röpke
Willem Röpke
Vrije Universiteit Brussel
Patvirtintas el. paštas vub.be
Pavadinimas
Cituota
Cituota
Metai
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
112022
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
112021
Preference communication in multi-objective normal-form games
W Röpke, DM Roijers, A Nowé, R Rădulescu
Neural Computing and Applications, 1-26, 2022
72022
Training a Speech-to-Text Model for Dutch on the Corpus Gesproken Nederlands.
W Röpke, R Radulescu, K Efthymiadis, A Nowé
Bnaic/benelearn, 2019
72019
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
62023
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
62023
Communication strategies in multi-objective normal-form games
W Röpke, R Radulescu, DM Roijers, A Nowé
Adaptive and learning agents workshop at AAMAS, 2021
62021
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
42023
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
32024
Reinforcement learning in multi-objective multi-agent systems
W Röpke
Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023
32023
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
32022
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
22024
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
22024
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
22021
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
12024
Deconstructing reinforcement learning benchmarks: Revealing the objectives
S Ajridi, W Röpke, A Nowé, R Radulescu
Multi-Objective Decision Making Workshop 2023, 2023
12023
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
Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.
Straipsniai 1–20