A Survey of Multi-Objective Sequential Decision-Making DM Roijers, P Vamplew, S Whiteson, R Dazeley Journal of Artificial Intelligence Research, 2013 | 728 | 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 | 263 | 2022 |
Multi-objective deep reinforcement learning H Mossalam, YM Assael, DM Roijers, S Whiteson NIPS 2016 workshop on Deep Reinforcement Learning, 2016 | 169 | 2016 |
Dynamic Weights in Multi-Objective Deep Reinforcement Learning A Abels, DM Roijers, T Lenaerts, A Nowé, D Steckelmacher ICML, 2019 | 160 | 2019 |
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 | 140 | 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 | 113 | 2019 |
Multi-Objective Decision Making DM Roijers, S Whiteson Synthesis Lectures on Artificial Intelligence and Machine Learning 11 (1), 1-129, 2017 | 109 | 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 | 100 | 2014 |
Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making LM Zintgraf, DM Roijers, S Linders, CM Jonker, A Nowé AAMAS, 2018 | 72 | 2018 |
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 | 71 | 2018 |
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 | 67 | 2021 |
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 | 61 | 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 | 60 | 2022 |
Computing convex coverage sets for faster multi-objective coordination DM Roijers, S Whiteson, FA Oliehoek Journal of Artificial Intelligence Research 52, 399-443, 2015 | 53 | 2015 |
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 | 47 | 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 | 46 | 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 | 45 | 2021 |
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 | 43 | 2018 |
Point-Based Planning for Multi-Objective POMDPs DM Roijers, S Whiteson, FA Oliehoek IJCAI, 2015 | 43 | 2015 |
Solving transition-independent multi-agent MDPs with sparse interactions J Scharpff, D Roijers, F Oliehoek, M Spaan, M de Weerdt Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 39 | 2016 |