Marco Wiering

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Lambert Schomakerprofessor of Artificial Intelligence, University of GroningenVerified email at rug.nl
Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of LuganoVerified email at kaust.edu.sa
Madalina M. DruganResearcher, ItLearns.OnlineVerified email at itlearns.online
Hado van HasseltResearch Scientist, DeepMind; Honorary Professor, UCLVerified email at google.com
Emmanuel OkaforSDAIA-KFUPM Joint Research Center for Artificial Intelligence, KFUPMVerified email at kfupm.edu.sa
mahir faik KaraabaInstitute of Artificial Intelligence and Cognitive EngineeringVerified email at rug.nl
Pornntiwa PawaraMahasarakham UniversityVerified email at msu.ac.th
Azizi AbdullahUniversiti Kebangsaan MalaysiaVerified email at ukm.edu.my
Matthia SabatelliAssistant Professor @ University of GroningenVerified email at student.rug.nl
Amirhossein ShantiaUniversity of groningenVerified email at rug.nl
Jilles VreekenCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Jelle van VeenenTilburg UniversityVerified email at tilburguniversity.edu
Remco C. Veltkampprofessor of Computer Science, Utrecht UniversityVerified email at uu.nl
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoVerified email at cs.ox.ac.uk
Harm van SeijenMicrosoft ResearchVerified email at microsoft.com
Sheng HeBoston Children's Hospital, Harvard Medical SchoolVerified email at childrens.harvard.edu
Leo PapeIDSIAVerified email at idsia.ch
Jos van de WolfshaarMessageBird, AmsterdamVerified email at messagebird.com
Mathijs PietersMSc Artificial Intelligence, University of AmsterdamVerified email at student.uva.nl
pieter jonkerProfessor of Vision based Robotics, Delft University of TechnologyVerified email at tudelft.nl

Marco Wiering

Institute of Artificial Intelligence and Cognitive Engineering, University of Groningen

Verified email at rug.nl - Homepage

Artificial Intelligence machine learning deep learning computer vision reinforcement learning


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Reinforcement learning MA Wiering, M Van Otterlo Adaptation, learning, and optimization 12 (3), 729, 2012	1188	2012
Multi-agent reinforcement learning for traffic light control MA Wiering Machine Learning: Proceedings of the Seventeenth International Conference …, 2000	625	2000
Reinforcement learning and markov decision processes M Van Otterlo, M Wiering Reinforcement learning: State-of-the-art, 3-42, 2012	592	2012
HQ-learning M Wiering, J Schmidhuber Adaptive behavior 6 (2), 219-246, 1997	316	1997
Reinforcement learning in continuous action spaces H Van Hasselt, MA Wiering 2007 IEEE International Symposium on Approximate Dynamic Programming and …, 2007	314	2007
Intelligent traffic light control MA Wiering, J Veenen, J Vreeken, A Koopman Utrecht University: Information and Computing Sciences, 2004	285	2004
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	252	2009
Shifting inductive bias with success-story algorithm, adaptive Levin search, and incremental self-improvement J Schmidhuber, J Zhao, M Wiering Machine Learning 28, 105-130, 1997	241	1997
Ensemble algorithms in reinforcement learning MA Wiering, H Van Hasselt IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008	236	2008
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	216	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	192	2017
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	178	2005
Explorations in efficient reinforcement learning MA Wiering University of Amsterdam, 1999	165	1999
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	148	2016
Efficient model-based exploration MA Wiering, J Schmidhuber MIT Press/Bradford Books 5, 223-228, 1998	130	1998
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	127	2017
Fast online Q (λ) M Wiering, J Schmidhuber Machine Learning 33, 105-115, 1998	126	1998
Data augmentation for plant classification P Pawara, E Okafor, L Schomaker, M Wiering Advanced Concepts for Intelligent Vision Systems: 18th International …, 2017	120	2017
Simple principles of metalearning J Schmidhuber, J Zhao, MA Wiering Technical report IDSIA 69, 1-23, 1996	114	1996
Junction detection in handwritten documents and its application to writer identification S He, M Wiering, L Schomaker Pattern Recognition 48 (12), 4036-4048, 2015	112	2015

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