| Reinforcement learning MA Wiering, M Van Otterlo Adaptation, learning, and optimization 12 (3), 729, 2012 | 1787 | 2012 |
| Multi-agent reinforcement learning for traffic light control MA Wiering Machine Learning: Proceedings of the Seventeenth International Conference …, 2000 | 744 | 2000 |
| Reinforcement learning in continuous action spaces H Van Hasselt, MA Wiering 2007 IEEE International Symposium on Approximate Dynamic Programming and …, 2007 | 357 | 2007 |
| A theoretical and empirical analysis of expected sarsa H Van Seijen, H Van Hasselt, S Whiteson, M Wiering 2009 ieee symposium on adaptive dynamic programming and reinforcement …, 2009 | 338 | 2009 |
| HQ-learning M Wiering, J Schmidhuber Adaptive behavior 6 (2), 219-246, 1997 | 324 | 1997 |
| Intelligent traffic light control MA Wiering, J Veenen, J Vreeken, A Koopman Utrecht University: Information and Computing Sciences, 2004 | 316 | 2004 |
| Adaptive traffic signal control with actor-critic methods in a real-world traffic network with different traffic disruption events M Aslani, MS Mesgari, M Wiering Transportation Research Part C: Emerging Technologies 85, 732-752, 2017 | 309 | 2017 |
| Ensemble algorithms in reinforcement learning MA Wiering, H Van Hasselt IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008 | 285 | 2008 |
| Shifting inductive bias with success-story algorithm, adaptive Levin search, and incremental self-improvement J Schmidhuber, J Zhao, M Wiering Machine Learning 28 (1), 105-130, 1997 | 265 | 1997 |
| Simulation and optimization of traffic in a city M Wiering, J Vreeken, J Van Veenen, A Koopman IEEE Intelligent Vehicles Symposium, 2004, 453-458, 2004 | 237 | 2004 |
| 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 |
| A model based method for automatic facial expression recognition H Van Kuilenburg, M Wiering, M Den Uyl European conference on machine learning, 194-205, 2005 | 196 | 2005 |
| Explorations in efficient reinforcement learning MA Wiering University of Amsterdam, 1999 | 178 | 1999 |
| Data augmentation for plant classification P Pawara, E Okafor, L Schomaker, M Wiering International conference on advanced concepts for intelligent vision systems …, 2017 | 165 | 2017 |
| Comparing Local Descriptors and Bags of Visual Words to Deep Convolutional Neural Networks for Plant Recognition. P Pawara, E Okafor, O Surinta, L Schomaker, M Wiering International Conference on Pattern Recognition Applications and Methods …, 2017 | 151 | 2017 |
| Deep neural networks with intersection over union loss for binary image segmentation F Van Beers, A Lindström, E Okafor, M Wiering Proceedings of the 8th international conference on pattern recognition …, 2019 | 150 | 2019 |
| Junction detection in handwritten documents and its application to writer identification S He, M Wiering, L Schomaker Pattern Recognition 48 (12), 4036-4048, 2015 | 146 | 2015 |
| Efficient model-based exploration C Elvezia From animals to animats 5: proceedings of the fifth international conference …, 1998 | 142 | 1998 |
| Fast online Q (λ) M Wiering, J Schmidhuber Machine Learning 33 (1), 105-115, 1998 | 136 | 1998 |
| Simple principles of metalearning J Schmidhuber, J Zhao, MA Wiering Technical report IDSIA 69, 1-23, 1996 | 134 | 1996 |
Lambert Schomakerprofessor of Artificial Intelligence, Bernoulli Institute, CogniGron Center, University of GroningenVerified email at rug.nl
