Marco A. Wiering

According to our database, Marco A. Wiering authored at least 125 papers between 1996 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning.

Remo Sasso, Matthia Sabatelli, Marco A. Wiering

Trans. Mach. Learn. Res., 2023

2021

Two-stage visual navigation by deep neural networks and multi-goal reinforcement learning.

Amirhossein Shantia, Rik Timmers, Yiebo Chong, Cornel Kuiper, Francesco Bidoia, Lambert Schomaker, Marco A. Wiering

Robotics Auton. Syst., 2021

CentroidNetV2: A hybrid deep neural network for small-object segmentation and counting.

Klaas Dijkstra, Jaap van de Loosdrecht, Waatze A. Atsma, Lambert R. B. Schomaker, Marco A. Wiering

Neurocomputing, 2021

Fractional Transfer Learning for Deep Model-Based Reinforcement Learning.

Remo Sasso, Matthia Sabatelli, Marco A. Wiering

CoRR, 2021

LemgoRL: An open-source Benchmark Tool to Train Reinforcement Learning Agents for Traffic Signal Control in a real-world simulation scenario.

Arthur Müller, Vishal Rangras, Georg Schnittker, Michael Waldmann, Maxim Friesen, Tobias Ferfers, Lukas Schreckenberg, Florian Hufen, Jürgen Jasperneite, Marco A. Wiering

CoRR, 2021

Semantic Preserving Siamese Autoencoder for Binary Quantization of Word Embeddings.

Wouter Mostard, Lambert Schomaker, Marco A. Wiering

Proceedings of the NLPIR 2021: 5th International Conference on Natural Language Processing and Information Retrieval, Sanya, China, December 17, 2021

Reinforcement Learning with Potential Functions Trained to Discriminate Good and Bad States.

Yifei Chen, S. Hamidreza Kasaei, Lambert Schomaker, Marco A. Wiering

Proceedings of the International Joint Conference on Neural Networks, 2021

Explainable Reinforcement Learning with the Tsetlin Machine.

Saeed Rahimi Gorji, Ole-Christoffer Granmo, Marco A. Wiering

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control.

Arthur Müller, Vishal Rangras, Tobias Ferfers, Florian Hufen, Lukas Schreckenberg, Jürgen Jasperneite, Georg Schnittker, Michael Waldmann, Maxim Friesen, Marco A. Wiering

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Variation-resistant Q-learning: Controlling and Utilizing Estimation Bias in Reinforcement Learning for Better Performance.

Andreas Pentaliotis, Marco A. Wiering

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Decoupling State Representation Methods from Reinforcement Learning in Car Racing.

Juan M. Montoya, Imant Daunhawer, Julia E. Vogt, Marco A. Wiering

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Explainable Reinforcement Learning for Longitudinal Control.

Roman Liessner, Jan Dohmen, Marco A. Wiering

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

An Investigation Into the Effect of the Learning Rate on Overestimation Bias of Connectionist Q-learning.

Yifei Chen, Lambert Schomaker, Marco A. Wiering

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Active Learning for Reducing Labeling Effort in Text Classification Tasks.

Pieter Floris Jacobs, Gideon Maillette de Buy Wenniger, Marco A. Wiering, Lambert Schomaker

Proceedings of the Artificial Intelligence and Machine Learning, 2021

2020

One-vs-One classification for deep neural networks.

Pornntiwa Pawara, Emmanuel Okafor, Marc Groefsema, Sheng He, Lambert R. B. Schomaker, Marco A. Wiering

Pattern Recognit., 2020

Comparing Machine Learning Algorithms with or without Feature Extraction for DNA Classification.

Xiangxie Zhang, Ben Beinke, Berlian Al Kindhi, Marco A. Wiering

CoRR, 2020

Enhancing reinforcement learning by a finite reward response filter with a case study in intelligent structural control.

Hamid Radmard Rahmani, Carsten Könke, Marco A. Wiering

CoRR, 2020

Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO.

Mario S. Holubar, Marco A. Wiering

CoRR, 2020

The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms.

Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Forest Fire Control with Learning from Demonstration and Reinforcement Learning.

Travis Hammond, Dirk Jelle Schaap, Matthia Sabatelli, Marco A. Wiering

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep Learning with Data Augmentation for Fruit Counting.

Pornntiwa Pawara, Alina Boshchenko, Lambert R. B. Schomaker, Marco A. Wiering

Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019

Hyperspectral demosaicking and crosstalk correction using deep learning.

Klaas Dijkstra, Jaap van de Loosdrecht, Lambert R. B. Schomaker, Marco A. Wiering

Mach. Vis. Appl., 2019

Unsupervised Keyphrase Extraction for Web Pages.

Tim Haarman, Bastiaan Zijlema, Marco A. Wiering

Multimodal Technol. Interact., 2019

Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms.

Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering

CoRR, 2019

A framework for brain learning-based control of smart structures.

Hamid Radmard Rahmani, J. Geoffrey Chase, Marco A. Wiering, Carsten Könke

Adv. Eng. Informatics, 2019

Combining Visual and Contextual Information for Fraudulent Online Store Classification.

Wouter Mostard, Bastiaan Zijlema, Marco A. Wiering

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Deep Neural Networks with Intersection over Union Loss for Binary Image Segmentation.

Floris van Beers, Arvid Lindström, Emmanuel Okafor, Marco A. Wiering

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Deep Reinforcement Learning for Pellet Eating in Agar.io.

Nil Stolt Ansó, Anton Orell Wiehe, Madalina M. Drugan, Marco A. Wiering

Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

Deep Quality-Value (DQV) Learning.

Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals.

Emmanuel Okafor, Lambert Schomaker, Marco A. Wiering

J. Inf. Telecommun., 2018

Sampled Policy Gradient for Learning to Play the Game Agar.io.

Anton Orell Wiehe, Nil Stolt Ansó, Madalina M. Drugan, Marco A. Wiering

CoRR, 2018

Comparing Generative Adversarial Network Techniques for Image Creation and Modification.

Mathijs Pieters, Marco A. Wiering

CoRR, 2018

Traffic signal optimization through discrete and continuous reinforcement learning with robustness analysis in downtown Tehran.

Mohammad Aslani, Stefan Seipel, Mohammad Saadi Mesgari, Marco A. Wiering

Adv. Eng. Informatics, 2018

Learning to Play Pac-Xon with Q-Learning and Two Double Q-Learning Variants.

Jits Schilperoort, Ivar Mak, Madalina M. Drugan, Marco A. Wiering

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Hierarchical Reinforcement Learning for Playing a Dynamic Dungeon Crawler Game.

Remi Niel, Marco A. Wiering

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Extra Domain Data Generation with Generative Adversarial Nets.

Luuk Boulogne, Klaas Dijkstra, Marco A. Wiering

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

CentroidNet: A Deep Neural Network for Joint Object Localization and Counting.

Klaas Dijkstra, Jaap van de Loosdrecht, Lambert R. B. Schomaker, Marco A. Wiering

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead.

Matthia Sabatelli, Francesco Bidoia, Valeriu Codreanu, Marco A. Wiering

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

A Deep Convolutional Neural Network for Location Recognition and Geometry based Information.

Francesco Bidoia, Matthia Sabatelli, Amirhossein Shantia, Marco A. Wiering, Lambert Schomaker

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Detection and Recognition of Badgers Using Deep Learning.

Emmanuel Okafor, Gerard Berendsen, Lambert Schomaker, Marco A. Wiering

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Deep Learning Policy Quantization.

Jos van de Wolfshaar, Marco A. Wiering, Lambert Schomaker

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Hierarchical Reinforcement Learning for Real-Time Strategy Games.

Remi Niel, Jasper Krebbers, Madalina M. Drugan, Marco A. Wiering

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Actor-Critic Reinforcement Learning with Neural Networks in Continuous Games.

Gabriel Leuenberger, Marco A. Wiering

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Exploration Methods for Connectionist Q-learning in Bomberman.

Joseph Groot Kormelink, Madalina M. Drugan, Marco A. Wiering

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron.

Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering

Proceedings of the Agents and Artificial Intelligence - 10th International Conference, 2018

Opponent Modelling in the Game of Tron using Reinforcement Learning.

Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Early Detection of Sepsis Induced Deterioration Using Machine Learning.

Francesco Dal Canton, Vincent M. Quinten, Marco A. Wiering

Proceedings of the Artificial Intelligence - 30th Benelux Conference, 2018

2017

Special issue on multi-objective reinforcement learning.

Madalina M. Drugan, Marco A. Wiering, Peter Vamplew, Madhu Chetty

Neurocomputing, 2017

Predicting long-term mortality with first week post-operative data after Coronary Artery Bypass Grafting using Machine Learning models.

Jose Castela Forte, Marco A. Wiering, Hjalmar R. Bouma, Fred Geus, Anne H. Epema

Proceedings of the Machine Learning for Health Care Conference, 2017

Operational data augmentation in classifying single aerial images of animals.

Emmanuel Okafor, Rik Smit, Lambert Schomaker, Marco A. Wiering

Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

Using Deep Convolutional Neural Networks to Predict Goal-scoring Opportunities in Soccer.

Martijn Wagenaar, Emmanuel Okafor, Wouter Frencken, Marco A. Wiering

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Comparing Local Descriptors and Bags of Visual Words to Deep Convolutional Neural Networks for Plant Recognition.

Pornntiwa Pawara, Emmanuel Okafor, Olarik Surinta, Lambert Schomaker, Marco A. Wiering

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Adversarial Reinforcement Learning in a Cyber Security Simulation.

Richard Elderman, Leon J. J. Pater, Albert S. Thie, Madalina M. Drugan, Marco A. Wiering

Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017

Support vector components analysis.

Michiel van der Ree, Jos B. T. M. Roerdink, Christophe Phillips, Gaëtan Garraux, Eric Salmon, Marco A. Wiering

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Hyper-spectral frequency selection for the classification of vegetation diseases.

Klaas Dijkstra, Jaap van de Loosdrecht, Lambert Schomaker, Marco A. Wiering

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Comparison of Machine Learning Techniques for Multi-label Genre Classification.

Mathijs Pieters, Marco A. Wiering

Proceedings of the Artificial Intelligence - 29th Benelux Conference, 2017

Learning to Play Donkey Kong Using Neural Networks and Reinforcement Learning.

Paul Ozkohen, Jelle Visser, Martijn van Otterlo, Marco A. Wiering

Proceedings of the Artificial Intelligence - 29th Benelux Conference, 2017

Data Augmentation for Plant Classification.

Pornntiwa Pawara, Emmanuel Okafor, Lambert Schomaker, Marco A. Wiering

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017

2016

Evaluating automatically parallelized versions of the support vector machine.

Valeriu Codreanu, Bob Dröge, David Williams, Burhan Yasar, Po Yang, Baoquan Liu, Feng Dong, Olarik Surinta, Lambert R. B. Schomaker, Jos B. T. M. Roerdink, Marco A. Wiering

Concurr. Comput. Pract. Exp., 2016

Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients.

Mahir Faik Karaaba, Olarik Surinta, Lambert R. B. Schomaker, Marco A. Wiering

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Comparing exploration strategies for Q-learning in random stochastic mazes.

Arryon D. Tijsma, Madalina M. Drugan, Marco A. Wiering

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Dynamic parameter update for robot navigation systems through unsupervised environmental situational analysis.

Amirhosein Shantia, Francesco Bidoia, Lambert Schomaker, Marco A. Wiering

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Q-learning with experience replay in a dynamic environment.

Mathijs Pieters, Marco A. Wiering

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Comparative study between deep learning and bag of visual words for wild-animal recognition.

Emmanuel Okafor, Pornntiwa Pawara, Faik Karaaba, Olarik Surinta, Valeriu Codreanu, Lambert Schomaker, Marco A. Wiering

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Human detection and classification of landing sites for search and rescue drones.

Felipe Martins, Marc de Groot, Xeryus Stokkel, Marco A. Wiering

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Making Sense of Illustrated Handwritten Archives.

Lambert Schomaker, Andreas Weber, Michiel Thijssen, Maarten Heerlien, Aske Plaat, Siegfried Nijssen, Fons J. Verbeek, Michael S. Lew, Eulalia Gasso Miracle, Katy Wolstencroft, Ernest Suyver, Bart Verheij, Marco A. Wiering, René Dekker, Joost N. Kok, Lissa Roberts, H. Jaap van den Herik

Proceedings of the 11th Annual International Conference of the Alliance of Digital Humanities Organizations, 2016

2015

Junction detection in handwritten documents and its application to writer identification.

Sheng He, Marco A. Wiering, Lambert Schomaker

Pattern Recognit., 2015

Recognition of handwritten characters using local gradient feature descriptors.

Olarik Surinta, Mahir Faik Karaaba, Lambert R. B. Schomaker, Marco A. Wiering

Eng. Appl. Artif. Intell., 2015

In-plane Rotational Alignment of Faces by Eye and Eye-pair Detection.

Mahir Faik Karaaba, Olarik Surinta, Lambert R. B. Schomaker, Marco A. Wiering

Proceedings of the VISAPP 2015, 2015

Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition.

Jos van de Wolfshaar, Mahir Faik Karaaba, Marco A. Wiering

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Temporal Difference Learning for the Game Tic-Tac-Toe 3D: Applying Structure to Neural Networks.

Michiel Van De Steeg, Madalina M. Drugan, Marco A. Wiering

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Ensemble Methods for Robust 3D Face Recognition Using Commodity Depth Sensors.

Florin Schimbinschi, Lambert Schomaker, Marco A. Wiering

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Robust Face Recognition by Computing Distances From Multiple Histograms of Oriented Gradients.

Mahir Faik Karaaba, Olarik Surinta, Lambert Schomaker, Marco A. Wiering

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Indoor localization by denoising autoencoders and semi-supervised learning in 3D simulated environment.

Amirhosein Shantia, Rik Timmers, Lambert Schomaker, Marco A. Wiering

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

The neural-SIFT feature descriptor for visual vocabulary object recognition.

Sybren Jansen, Amirhosein Shantia, Marco A. Wiering

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Recognizing Handwritten Characters with Local Descriptors and Bags of Visual Words.

Olarik Surinta, Mahir Faik Karaaba, Tusar Kanti Mishra, Lambert Schomaker, Marco A. Wiering

Proceedings of the Engineering Applications of Neural Networks, 2015

2014

Machine learning for multi-view eye-pair detection.

Mahir Faik Karaaba, Lambert Schomaker, Marco A. Wiering

Eng. Appl. Artif. Intell., 2014

A Path Planning for Line Segmentation of Handwritten Documents.

Olarik Surinta, Michiel Holtkamp, Faik Karaaba, Jean-Paul van Oosten, Lambert Schomaker, Marco A. Wiering

Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

Classification system for mortgage arrear management.

Zhe Sun, Marco A. Wiering, Nicolai Petkov

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Model-based multi-objective reinforcement learning.

Marco A. Wiering, Maikel Withagen, Madalina M. Drugan

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013

The Monk Line Segmentation (MLS) Dataset.

Olarik Surinta, Lambert Schomaker, Marco A. Wiering

Dataset, May, 2013

A Comparison of Feature and Pixel-Based Methods for Recognizing Handwritten Bangla Digits.

Olarik Surinta, Lambert Schomaker, Marco A. Wiering

Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Bandit-Inspired Memetic Algorithms for solving Quadratic Assignment Problems.

Francesco Puglierin, Madalina M. Drugan, Marco A. Wiering

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Reinforcement learning in the game of Othello: Learning against a fixed opponent and learning from self-play.

Michiel van der Ree, Marco A. Wiering

Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

Reinforcement learning to train Ms. Pac-Man using higher-order action-relative inputs.

Luuk Bom, Ruud Henken, Marco A. Wiering

Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012

Neural-Fitted TD-Leaf Learning for Playing Othello With Structured Neural Networks.

Sjoerd van den Dries, Marco A. Wiering

IEEE Trans. Neural Networks Learn. Syst., 2012

Handwritten Character Classification using the Hotspot Feature Extraction Technique.

Olarik Surinta, Lambert Schomaker, Marco A. Wiering

Proceedings of the ICPRAM 2012, 2012

Conclusions, Future Directions and Outlook.

Marco A. Wiering, Martijn van Otterlo

Proceedings of the Reinforcement Learning, 2012

Reinforcement Learning and Markov Decision Processes.

Martijn van Otterlo, Marco A. Wiering

Proceedings of the Reinforcement Learning, 2012

2011

Editorial: One Year as EiC, and Editorial-Board Changes at TNN.

Marco Baglietto, Lubica Benusková, Ivo Bukovsky, Tianping Chen, Tom Heskes, Kazushi Ikeda, Fakhri Karray, Rhee Man Kil, Robert Legenstein, Jinhu Lu, Yunqian Ma, Malik Magdon-Ismail, Michael G. Paulin, Robi Polikar, Danil V. Prokhorov, Marco A. Wiering, Vicente Zarzoso

IEEE Trans. Neural Networks, 2011

Exploiting Best-Match Equations for Efficient Reinforcement Learning.

Harm van Seijen, Shimon Whiteson, Hado van Hasselt, Marco A. Wiering

J. Mach. Learn. Res., 2011

Connectionist reinforcement learning for intelligent unit micro management in StarCraft.

Amirhosein Shantia, Eric Begue, Marco A. Wiering

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Reinforcement learning algorithms for solving classification problems.

Marco A. Wiering, Hado van Hasselt, Auke-Dirk Pietersma, Lambert Schomaker

Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010

Fixed partitioning and salient points with MPEG-7 cluster correlograms for image categorization.

Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering

Pattern Recognit., 2010

Self-Play and Using an Expert to Learn to Play Backgammon with Temporal Difference Learning.

Marco A. Wiering

J. Intell. Learn. Syst. Appl., 2010

Feature selection for Bayesian network classifiers using the MDL-FS score.

Madalina M. Drugan, Marco A. Wiering

Int. J. Approx. Reason., 2010

Region enhanced neural Q-learning for solving model-based POMDPs.

Marco A. Wiering, Thijs Kooi

Proceedings of the International Joint Conference on Neural Networks, 2010

Ensembles of novel visual keywords descriptors for image categorization.

Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering

Proceedings of the 11th International Conference on Control, 2010

2009

An Ensemble of Deep Support Vector Machines for Image Categorization.

Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering

Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

Using continuous action spaces to solve discrete problems.

Hado van Hasselt, Marco A. Wiering

Proceedings of the International Joint Conference on Neural Networks, 2009

Spatial pyramids and two-layer stacking SVM classifiers for image categorization: A comparative study.

Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering

Proceedings of the International Joint Conference on Neural Networks, 2009

The QV family compared to other reinforcement learning algorithms.

Marco A. Wiering, Hado van Hasselt

Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

A theoretical and empirical analysis of Expected Sarsa.

Harm van Seijen, Hado van Hasselt, Shimon Whiteson, Marco A. Wiering

Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2008

Democratic Liquid State Machines for Music Recognition.

Leo Pape, Jornt de Gruijl, Marco A. Wiering

Proceedings of the Speech, 2008

Ensemble Algorithms in Reinforcement Learning.

Marco A. Wiering, Hado van Hasselt

IEEE Trans. Syst. Man Cybern. Part B, 2008

2007

Recurrent neural network modeling of nearshore sandbar behavior.

Leo Pape, B. Gerben Ruessink, Marco A. Wiering, Ian L. Turner

Neural Networks, 2007

2006

Cognitive Developmental Pattern Recognition: Learning to learn.

Tijn van der Zant, Lambert Schomaker, Marco A. Wiering, Axel Brink

Proceedings of the IEEE International Conference on Systems, 2006

Neural Network Modelin of Nearshore Sandbar Behavior.

Leo Pape, B. Gerben Ruessink, Marco A. Wiering, Ian L. Turner

Proceedings of the International Joint Conference on Neural Networks, 2006

Red Queen dynamics in a predator-prey ecosystem.

Walter de Back, Marco A. Wiering, Edwin D. de Jong

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Strategies for Ontology Negotiation: Finding the Right Level of Generality.

Jurriaan van Diggelen, Edwin D. de Jong, Marco A. Wiering

Proceedings of the Agent Communication II, International Workshops on Agent Communication, 2006

2005

A Model Based Method for Automatic Facial Expression Recognition.

Hans van Kuilenburg, Marco A. Wiering, Marten den Uyl

Proceedings of the Machine Learning: ECML 2005, 2005

2004

Utile distinction hidden Markov models.

Daan Wierstra, Marco A. Wiering

Proceedings of the Machine Learning, 2004

Convergence and Divergence in Standard and Averaging Reinforcement Learning.

Marco A. Wiering

Proceedings of the Machine Learning: ECML 2004, 2004

2001

Clockwork Orange: The Dutch RoboSoccer Team.

Matthijs T. J. Spaan, Marco A. Wiering, Robert Bartelds, Raymond Donkervoort, Pieter P. Jonker, Frans C. A. Groen

Proceedings of the RoboCup 2001: Robot Soccer World Cup V, 2001

Reinforcement Learning in Dynamic Environments using Instantiated Information.

Marco A. Wiering

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000

Multi-Agent Reinforcement Leraning for Traffic Light Control.

Marco A. Wiering

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Reinforcement Learning Soccer Teams with Incomplete World Models.

Marco A. Wiering, Rafal Salustowicz, Jürgen Schmidhuber

Auton. Robots, 1999

1998

Fast Online Q(lambda).

Marco A. Wiering, Jürgen Schmidhuber

Mach. Learn., 1998

Learning Team Strategies: Soccer Case Studies.

Rafal Salustowicz, Marco A. Wiering, Jürgen Schmidhuber

Mach. Learn., 1998

Speeding up Q(lambda)-Learning.

Marco A. Wiering, Jürgen Schmidhuber

Proceedings of the Machine Learning: ECML-98, 1998

1997

Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement.

Jürgen Schmidhuber, Jieyu Zhao, Marco A. Wiering

Mach. Learn., 1997

HQ-Learning.

Marco A. Wiering, Jürgen Schmidhuber

Adapt. Behav., 1997

Evolving Soccer Strategies.

Rafal Salustowicz, Marco A. Wiering, Jürgen Schmidhuber

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

On Learning Soccer Strategies.

Rafal Salustowicz, Marco A. Wiering, Jürgen Schmidhuber

Proceedings of the Artificial Neural Networks, 1997

1996

Solving POMDPs with Levin Search and EIRA.

Marco A. Wiering, Jürgen Schmidhuber

Proceedings of the Machine Learning, 1996