| A practical guide to multi-objective reinforcement learning and planning CF Hayes, R Rădulescu, E Bargiacchi, J Källström, M Macfarlane, ... Autonomous Agents and Multi-Agent Systems 36 (1), 1-59, 2022 | 391 | 2022 |
| Scalar reward is not enough: A response to silver, singh, precup and sutton (2021) P Vamplew, BJ Smith, J Källström, G Ramos, R Rădulescu, DM Roijers, ... Autonomous Agents and Multi-Agent Systems 36 (2), 41, 2022 | 92 | 2022 |
| Actor-critic multi-objective reinforcement learning for non-linear utility functions M Reymond, CF Hayes, D Steckelmacher, DM Roijers, A Nowé Autonomous Agents and Multi-Agent Systems 37 (2), 23, 2023 | 32 | 2023 |
| Distributional monte carlo tree search for risk-aware and multi-objective reinforcement learning CF Hayes, M Reymond, DM Roijers, E Howley, P Mannion Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 27 | 2021 |
| Expected scalarised returns dominance: A new solution concept for multi-objective decision making CF Hayes, T Verstraeten, DM Roijers, E Howley, P Mannion Neural Computing and Applications, 1-21, 2022 | 18 | 2022 |
| Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search CF Hayes, M Reymond, DM Roijers, E Howley, P Mannion Adaptive and Learning Agents Workshop at AAMAS 2021, 2021 | 17 | 2021 |
| Dynamic thresholded lexicograpic ordering CF Hayes, E Howley, P Mannion Adaptive and Learning Agents Workshop (AAMAS 2020), 2020 | 13 | 2020 |
| Exploring the pareto front of multi-objective covid-19 mitigation policies using reinforcement learning M Reymond, CF Hayes, L Willem, R Rădulescu, S Abrams, DM Roijers, ... Expert Systems with Applications 249, 123686, 2024 | 12 | 2024 |
| Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning CF Hayes, M Reymond, DM Roijers, E Howley, P Mannion Autonomous Agents and Multi-Agent Systems 37 (2), 26, 2023 | 8 | 2023 |
| 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 |
| Decision-theoretic planning for the expected scalarised returns CF Hayes, DM Roijers, E Howley, P Mannion Proceedings of the 21st international conference on autonomous agents and …, 2022 | 6 | 2022 |
| Dominance criteria and solution sets for the expected scalarised returns CF Hayes, T Verstraeten, DM Roijers, E Howley, P Mannion Proceedings of the Adaptive and Learning Agents workshop at AAMAS 2021, 2021 | 6 | 2021 |
| Multi-Objective Distributional Value Iteration CF Hayes, DM Roijers, E Howley, P Mannion Adaptive and Learning Agents Workshop (AAMAS 2022), 2022 | 5* | 2022 |
| From text to life: On the reciprocal relationship between artificial life and large language models E Nisioti, C Glanois, E Najarro, A Dai, E Meyerson, JW Pedersen, ... Artificial Life Conference Proceedings 36 2024 (1), 39, 2024 | 4 | 2024 |
| Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models CF Hayes, T Verstraeten, DM Roijers, E Howley, P Mannion European Workshop on Reinforcement Learning (EWRL 2022), 2022 | 4 | 2022 |
| Pareto Front Training For Multi-Objective Symbolic Optimization JG Faris, CF Hayes, AR Goncalves, KG Sprenger, BK Petersen, ... The Sixteenth Workshop on Adaptive and Learning Agents, 2024 | 3 | 2024 |
| A Brief Guide to Multi-Objective Reinforcement Learning and Planning CF Hayes, R Rădulescu, E Bargiacchi, J Kallstrom, M Macfarlane, ... Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | 3 | 2023 |
| Multi-objective Reinforcement Learning: A Tool for Pluralistic Alignment P Vamplew, CF Hayes, C Foale, R Dazeley, H Harland Pluralistic Alignment Workshop @ Neurips 2024, 2024 | 1 | 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 | 1 | 2024 |
| Antibody Library Design by Seeding Linear Programming with Inverse Folding and Protein Language Models CF Hayes, SA Magana-Zook, A Gonçalves, AC Solak, D Faissol, ... bioRxiv, 2024.11. 03.621763, 2024 | | 2024 |
Diederik M. RoijersSenior Researcher @ Vrije Universiteit Brussel & Business Developer @ City of AmsterdamBestätigte E-Mail-Adresse bei ai.vub.ac.be