| A Survey of Multi-Objective Sequential Decision-Making DM Roijers, P Vamplew, S Whiteson, R Dazeley Journal of Artificial Intelligence Research, 2013 | 987 | 2013 |
| 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 Journal 36 (29), 1-59, 2022 | 655 | 2022 |
| Dynamic Weights in Multi-Objective Deep Reinforcement Learning A Abels, DM Roijers, T Lenaerts, A Nowé, D Steckelmacher ICML, 2019 | 273 | 2019 |
| Multi-objective deep reinforcement learning H Mossalam, YM Assael, DM Roijers, S Whiteson NIPS 2016 workshop on Deep Reinforcement Learning, 2016 | 238 | 2016 |
| Multi-objective multi-agent decision making: a utility-based analysis and survey R Rădulescu, P Mannion, DM Roijers, A Nowé Autonomous Agents and Multi-Agent Systems 34 (1), 10, 2020 | 237 | 2020 |
| Coordination of electric vehicle charging through multiagent reinforcement learning FL Da Silva, CEH Nishida, DM Roijers, AHR Costa IEEE Transactions on Smart Grid 11 (3), 2347-2356, 2019 | 161 | 2019 |
| Multi-Objective Decision Making DM Roijers, S Whiteson Synthesis Lectures on Artificial Intelligence and Machine Learning 11 (1), 1-129, 2017 | 137 | 2017 |
| Towards Personalised Gaming via Facial Expression Recognition PM Blom, S Bakkes, CT Tan, S Whiteson, DM Roijers, R Valenti, T Gevers Proceedings of Tenth AAAI Conference on Artificial Intelligence and …, 2014 | 120 | 2014 |
| Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021) P Vamplew, BJ Smith, J Kallstrom, G Ramos, R Radulescu, DM Roijers, ... Auton Agent Multi-Agent Syst 36, Article number 41, 2022 | 117 | 2022 |
| Time efficiency in optimization with a Bayesian-evolutionary algorithm G Lan, JM Tomczak, DM Roijers, AE Eiben Swarm and Evolutionary Computation 69, 100970, 2022 | 108 | 2022 |
| Deep learning-based energy disaggregation and on/off detection of household appliances J Jiang, Q Kong, MD Plumbley, N Gilbert, M Hoogendoorn, DM Roijers ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (3), 1-21, 2021 | 91 | 2021 |
| Open-ended learning: a conceptual framework based on representational redescription S Doncieux, D Filliat, N Díaz-Rodríguez, T Hospedales, R Duro, A Coninx, ... Frontiers in neurorobotics 12, 59, 2018 | 87 | 2018 |
| Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making LM Zintgraf, DM Roijers, S Linders, CM Jonker, A Nowé AAMAS, 2018 | 81 | 2018 |
| Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization LN Alegre, ALC Bazzan, DM Roijers, A Nowé, BC da Silva AAMAS, 2023 | 69 | 2023 |
| Computing convex coverage sets for faster multi-objective coordination DM Roijers, S Whiteson, FA Oliehoek Journal of Artificial Intelligence Research 52, 399-443, 2015 | 68 | 2015 |
| Multi-objective Reinforcement Learning for the Expected Utility of the Return DM Roijers, D Steckelmacher, A Nowé Adaptive Learning Agents (ALA) workshop at AAMAS/ICML/IJCAI 18, 2018 | 64 | 2018 |
| Learning directed locomotion in modular robots with evolvable morphologies G Lan, M De Carlo, F van Diggelen, JM Tomczak, DM Roijers, AE Eiben Applied Soft Computing 111, 107688, 2021 | 62 | 2021 |
| Linear Support for Multi-Objective Coordination Graphs DM Roijers, S Whiteson, FA Oliehoek Proc. of the 2014 Autonomous Agents and Multi-Agent Systems conference, 2014 | 61 | 2014 |
| Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems E Bargiacchi, T Verstraeten, DM Roijers, A Nowé, H Hasselt International Conference on Machine Learning, 491-499, 2018 | 60 | 2018 |
| Quality Assessment of MORL Algorithms: A Utility-Based Approach LM Zintgraf, TV Kanters, DM Roijers, FA Oliehoek, P Beau BENELEARN, 2015 | 57 | 2015 |
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