| Scalarized multi-objective reinforcement learning: Novel design techniques K Van Moffaert, MM Drugan, A Nowé 2013 IEEE symposium on adaptive dynamic programming and reinforcement …, 2013 | 390 | 2013 |
| Designing multi-objective multi-armed bandits: a study MM Drugan, A Nowe Proc of International Joint Conference of Neural Networks (IJCNN), 2013 | 218 | 2013 |
| Reinforcement learning versus evolutionary computation: A survey on hybrid algorithms MM Drugan Swarm and evolutionary computation 44, 228-246, 2019 | 217 | 2019 |
| Comparing exploration strategies for Q-learning in random stochastic mazes AD Tijsma, MM Drugan, MA Wiering 2016 IEEE symposium series on computational intelligence (SSCI), 1-8, 2016 | 201 | 2016 |
| Straightforward ladder sequencing of peptides using a Lys-N metalloendopeptidase N Taouatas, MM Drugan, AJR Heck, S Mohammed Nature methods 5 (5), 405-407, 2008 | 157 | 2008 |
| Hypervolume-based multi-objective reinforcement learning K Van Moffaert, MM Drugan, A Nowé International Conference on Evolutionary Multi-Criterion Optimization, 352-366, 2013 | 116 | 2013 |
| Adversarial reinforcement learning in a cyber security simulation R Elderman, LJJ Pater, AS Thie, MM Drugan, MA Wiering 9th International Conference on Agents and Artificial Intelligence (ICAART …, 2017 | 109 | 2017 |
| Strong cation exchange-based fractionation of Lys-N-generated peptides facilitates the targeted analysis of post-translational modifications N Taouatas, AFM Altelaar, MM Drugan, AO Helbig, S Mohammed, ... Molecular & Cellular Proteomics 8 (1), 190-200, 2009 | 101 | 2009 |
| Stochastic Pareto local search: Pareto neighbourhood exploration and perturbation strategies MM Drugan, D Thierens Journal of Heuristics 18 (5), 727-766, 2012 | 83 | 2012 |
| Pareto front identification from stochastic bandit feedback P Auer, CK Chiang, R Ortner, M Drugan Artificial intelligence and statistics, 939-947, 2016 | 76 | 2016 |
| Model-based multi-objective reinforcement learning MA Wiering, M Withagen, MM Drugan 2014 IEEE symposium on adaptive dynamic programming and reinforcement …, 2014 | 75 | 2014 |
| StatQuant: a post-quantification analysis toolbox for improving quantitative mass spectrometry B van Breukelen, HWP van den Toorn, MM Drugan, AJR Heck Bioinformatics 25 (11), 1472-1473, 2009 | 49 | 2009 |
| Feature selection for Bayesian network classifiers using the MDL-FS score MM Drugan, MA Wiering International journal of approximate reasoning 51 (6), 695-717, 2010 | 48 | 2010 |
| Evolutionary markov chain monte carlo MM Drugan, D Thierens International Conference on Artificial Evolution (Evolution Artificielle), 63-76, 2003 | 40 | 2003 |
| Path-guided mutation for stochastic Pareto local search algorithms MM Drugan, D Thierens International Conference on Parallel Problem Solving from Nature, 485-495, 2010 | 37 | 2010 |
| Opponent modelling in the game of tron using reinforcement learning SJL Knegt, MM Drugan, MA Wiering ICAART 2018-Proceedings of the 10th International Conference on Agents and …, 2018 | 30 | 2018 |
| Scalarization based Pareto optimal set of arms identification algorithms MM Drugan, A Nowé 2014 International Joint Conference on Neural Networks (IJCNN), 2690-2697, 2014 | 30 | 2014 |
| Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms. SQ Yahyaa, MM Drugan, B Manderick ICAART (1), 74-83, 2014 | 30 | 2014 |
| Annealing-pareto multi-objective multi-armed bandit algorithm SQ Yahyaa, MM Drugan, B Manderick 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2014 | 29 | 2014 |
| The scalarized multi-objective multi-armed bandit problem: An empirical study of its exploration vs. exploitation tradeoff SQ Yahyaa, MM Drugan, B Manderick 2014 International Joint Conference on Neural Networks (IJCNN), 2290-2297, 2014 | 27 | 2014 |
Marco WieringInstitute of Artificial Intelligence and Cognitive Engineering, University of GroningenVerified email at rug.nl
