Solving POMDPs with Levin Search and EIRA. - Marco A. Wiering; Jürgen Schmidhuber (ICML, 1996)

On Learning Soccer Strategies. - Rafal Salustowicz; Marco A. Wiering; Jürgen Schmidhuber (ICANN, 1997)

Evolving Soccer Strategies. - Rafal Salustowicz; Marco A. Wiering; Jürgen Schmidhuber (ICONIP (1), 1997)

HQ-Learning. - Marco A. Wiering; Jürgen Schmidhuber (Adapt. Behav., 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)

Speeding up Q(lambda)-Learning. - Marco A. Wiering; Jürgen Schmidhuber (ECML, 1998)

Learning Team Strategies: Soccer Case Studies. - Rafal Salustowicz; Marco A. Wiering; Jürgen Schmidhuber (Mach. Learn., 1998)

Fast Online Q(lambda). - Marco A. Wiering; Jürgen Schmidhuber (Mach. Learn., 1998)

Reinforcement Learning Soccer Teams with Incomplete World Models. - Marco A. Wiering; Rafal Salustowicz; Jürgen Schmidhuber (Auton. Robots, 1999)

Multi-Agent Reinforcement Leraning for Traffic Light Control. - Marco A. Wiering (ICML, 2000)

Reinforcement Learning in Dynamic Environments using Instantiated Information. - Marco A. Wiering (ICML, 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 (RoboCup, 2001)

Convergence and Divergence in Standard and Averaging Reinforcement Learning. - Marco A. Wiering (ECML, 2004)

Utile distinction hidden Markov models. - Daan Wierstra; Marco A. Wiering (ICML, 2004)

A Model Based Method for Automatic Facial Expression Recognition. - Hans van Kuilenburg; Marco A. Wiering; Marten den Uyl (ECML, 2005)

Strategies for Ontology Negotiation: Finding the Right Level of Generality. - Jurriaan van Diggelen; Edwin D. de Jong; Marco A. Wiering (AC, 2006)

Red Queen dynamics in a predator-prey ecosystem. - Walter de Back; Marco A. Wiering; Edwin D. de Jong (GECCO, 2006)

Neural Network Modelin of Nearshore Sandbar Behavior. - Leo Pape; B. Gerben Ruessink; Marco A. Wiering; Ian L. Turner (IJCNN, 2006)

Cognitive Developmental Pattern Recognition: Learning to learn. - Tijn van der Zant; Lambert Schomaker; Marco A. Wiering; Axel Brink (SMC, 2006)

Recurrent neural network modeling of nearshore sandbar behavior. - Leo Pape; B. Gerben Ruessink; Marco A. Wiering; Ian L. Turner (Neural Networks, 2007)

Ensemble Algorithms in Reinforcement Learning. - Marco A. Wiering; Hado van Hasselt (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Democratic Liquid State Machines for Music Recognition. - Leo Pape; Jornt de Gruijl; Marco A. Wiering (Speech, Audio, Image and Biomedical Signal Processing using Neural Networks, 2008)

A theoretical and empirical analysis of Expected Sarsa. - Harm van Seijen; Hado van Hasselt; Shimon Whiteson; Marco A. Wiering (ADPRL, 2009)

The QV family compared to other reinforcement learning algorithms. - Marco A. Wiering; Hado van Hasselt (ADPRL, 2009)

Spatial pyramids and two-layer stacking SVM classifiers for image categorization: A comparative study. - Azizi Abdullah; Remco C. Veltkamp; Marco A. Wiering (IJCNN, 2009)

Using continuous action spaces to solve discrete problems. - Hado van Hasselt; Marco A. Wiering (IJCNN, 2009)

An Ensemble of Deep Support Vector Machines for Image Categorization. - Azizi Abdullah; Remco C. Veltkamp; Marco A. Wiering (SoCPaR, 2009)

Ensembles of novel visual keywords descriptors for image categorization. - Azizi Abdullah; Remco C. Veltkamp; Marco A. Wiering (ICARCV, 2010)

Region enhanced neural Q-learning for solving model-based POMDPs. - Marco A. Wiering; Thijs Kooi (IJCNN, 2010)

Feature selection for Bayesian network classifiers using the MDL-FS score. - Madalina M. Drugan; Marco A. Wiering (Int. J. Approx. Reason., 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)

Fixed partitioning and salient points with MPEG-7 cluster correlograms for image categorization. - Azizi Abdullah; Remco C. Veltkamp; Marco A. Wiering (Pattern Recognit., 2010)

Reinforcement learning algorithms for solving classification problems. - Marco A. Wiering; Hado van Hasselt; Auke-Dirk Pietersma; Lambert Schomaker (ADPRL, 2011)

Connectionist reinforcement learning for intelligent unit micro management in StarCraft. - Amirhosein Shantia; Eric Begue; Marco A. Wiering (IJCNN, 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)

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; et al. (IEEE Trans. Neural Networks, 2011)

Reinforcement Learning and Markov Decision Processes. - Martijn van Otterlo; Marco A. Wiering (Reinforcement Learning, 2012)

Conclusions, Future Directions and Outlook. - Marco A. Wiering; Martijn van Otterlo (Reinforcement Learning, 2012)

Handwritten Character Classification using the Hotspot Feature Extraction Technique. - Olarik Surinta; Lambert Schomaker; Marco A. Wiering (ICPRAM (1), 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)

Reinforcement learning to train Ms. Pac-Man using higher-order action-relative inputs. - Luuk Bom; Ruud Henken; Marco A. Wiering (ADPRL, 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 (ADPRL, 2013)

Bandit-Inspired Memetic Algorithms for solving Quadratic Assignment Problems. - Francesco Puglierin; Madalina M. Drugan; Marco A. Wiering (IEEE Congress on Evolutionary Computation, 2013)

A Comparison of Feature and Pixel-Based Methods for Recognizing Handwritten Bangla Digits. - Olarik Surinta; Lambert Schomaker; Marco A. Wiering (ICDAR, 2013)

The Monk Line Segmentation (MLS) Dataset. - Olarik Surinta; Lambert Schomaker; Marco A. Wiering (Zenodo, 2013)

Model-based multi-objective reinforcement learning. - Marco A. Wiering; Maikel Withagen; Madalina M. Drugan (ADPRL, 2014)

Classification system for mortgage arrear management. - Zhe Sun; Marco A. Wiering; Nicolai Petkov (CIFEr, 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 (ICFHR, 2014)

Machine learning for multi-view eye-pair detection. - Mahir Faik Karaaba; Lambert Schomaker; Marco A. Wiering (Eng. Appl. Artif. Intell., 2014)

Recognizing Handwritten Characters with Local Descriptors and Bags of Visual Words. - Olarik Surinta; Mahir Faik Karaaba; Tusar Kanti Mishra; Lambert Schomaker; Marco A. Wiering (EANN, 2015)

The neural-SIFT feature descriptor for visual vocabulary object recognition. - Sybren Jansen; Amirhosein Shantia; Marco A. Wiering (IJCNN, 2015)

Indoor localization by denoising autoencoders and semi-supervised learning in 3D simulated environment. - Amirhosein Shantia; Rik Timmers; Lambert Schomaker; Marco A. Wiering (IJCNN, 2015)

Robust Face Recognition by Computing Distances From Multiple Histograms of Oriented Gradients. - Mahir Faik Karaaba; Olarik Surinta; Lambert Schomaker; Marco A. Wiering (SSCI, 2015)

Ensemble Methods for Robust 3D Face Recognition Using Commodity Depth Sensors. - Florin Schimbinschi; Lambert Schomaker; Marco A. Wiering (SSCI, 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 (SSCI, 2015)

Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition. - Jos van de Wolfshaar; Mahir Faik Karaaba; Marco A. Wiering (SSCI, 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 (VISAPP (2), 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)

Junction detection in handwritten documents and its application to writer identification. - Sheng He; Marco A. Wiering; Lambert Schomaker (Pattern Recognit., 2015)

Making Sense of Illustrated Handwritten Archives. - Lambert Schomaker; Andreas Weber 008; Michiel Thijssen; Maarten Heerlien; Aske Plaat; Siegfried Nijssen; Fons J. Verbeek; Michael S. Lew; Eulalia Gasso Miracle; Katy Wolstencroft; Ernest Suyver; Bart Verheij; et al. (DH, 2016)

Human detection and classification of landing sites for search and rescue drones. - Felipe Martins; Marc de Groot; Xeryus Stokkel; Marco A. Wiering (ESANN, 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 (SSCI, 2016)

Q-learning with experience replay in a dynamic environment. - Mathijs Pieters; Marco A. Wiering (SSCI, 2016)

Dynamic parameter update for robot navigation systems through unsupervised environmental situational analysis. - Amirhosein Shantia; Francesco Bidoia; Lambert Schomaker; Marco A. Wiering (SSCI, 2016)

Comparing exploration strategies for Q-learning in random stochastic mazes. - Arryon D. Tijsma; Madalina M. Drugan; Marco A. Wiering (SSCI, 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 (VISIGRAPP (4: VISAPP), 2016)

Evaluating automatically parallelized versions of the support vector machine. - Valeriu Codreanu; Bob Dröge; David Williams 002; Burhan Yasar; Po Yang 001; Baoquan Liu; Feng Dong 005; Olarik Surinta; Lambert R. B. Schomaker; Jos B. T. M. Roerdink; Marco A. Wiering (Concurr. Comput. Pract. Exp., 2016)

Data Augmentation for Plant Classification. - Pornntiwa Pawara; Emmanuel Okafor; Lambert Schomaker; Marco A. Wiering (ACIVS, 2017)

Learning to Play Donkey Kong Using Neural Networks and Reinforcement Learning. - Paul Ozkohen; Jelle Visser; Martijn van Otterlo; Marco A. Wiering (BNCAI, 2017)

Comparison of Machine Learning Techniques for Multi-label Genre Classification. - Mathijs Pieters; Marco A. Wiering (BNCAI, 2017)

Hyper-spectral frequency selection for the classification of vegetation diseases. - Klaas Dijkstra; Jaap van de Loosdrecht; Lambert Schomaker; Marco A. Wiering (ESANN, 2017)

Support vector components analysis. - Michiel van der Ree; Jos B. T. M. Roerdink; Christophe Phillips; Gaëtan Garraux; Eric Salmon; Marco A. Wiering (ESANN, 2017)

Adversarial Reinforcement Learning in a Cyber Security Simulation. - Richard Elderman; Leon J. J. Pater; Albert S. Thie; Madalina M. Drugan; Marco A. Wiering (ICAART (2), 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 (ICPRAM, 2017)

Using Deep Convolutional Neural Networks to Predict Goal-scoring Opportunities in Soccer. - Martijn Wagenaar; Emmanuel Okafor; Wouter Frencken; Marco A. Wiering (ICPRAM, 2017)

Operational data augmentation in classifying single aerial images of animals. - Emmanuel Okafor; Rik Smit; Lambert Schomaker; Marco A. Wiering (INISTA, 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 (MLHC, 2017)

Special issue on multi-objective reinforcement learning. - Madalina M. Drugan; Marco A. Wiering; Peter Vamplew 001; Madhu Chetty (Neurocomputing, 2017)

Early Detection of Sepsis Induced Deterioration Using Machine Learning. - Francesco Dal Canton; Vincent M. Quinten; Marco A. Wiering (BNCAI, 2018)

Opponent Modelling in the Game of Tron using Reinforcement Learning. - Stefan J. L. Knegt; Madalina M. Drugan; Marco A. Wiering (ICAART (2), 2018)

Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron. - Stefan J. L. Knegt; Madalina M. Drugan; Marco A. Wiering (ICAART (Revised Selected Papers), 2018)

Exploration Methods for Connectionist Q-learning in Bomberman. - Joseph Groot Kormelink; Madalina M. Drugan; Marco A. Wiering (ICAART (2), 2018)

Actor-Critic Reinforcement Learning with Neural Networks in Continuous Games. - Gabriel Leuenberger; Marco A. Wiering (ICAART (2), 2018)

Hierarchical Reinforcement Learning for Real-Time Strategy Games. - Remi Niel; Jasper Krebbers; Madalina M. Drugan; Marco A. Wiering (ICAART (2), 2018)

Deep Learning Policy Quantization. - Jos van de Wolfshaar; Marco A. Wiering; Lambert Schomaker (ICAART (2), 2018)

Detection and Recognition of Badgers Using Deep Learning. - Emmanuel Okafor; Gerard Berendsen; Lambert Schomaker; Marco A. Wiering (ICANN (3), 2018)

A Deep Convolutional Neural Network for Location Recognition and Geometry based Information. - Francesco Bidoia; Matthia Sabatelli; Amirhossein Shantia; Marco A. Wiering; Lambert Schomaker (ICPRAM, 2018)

Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead. - Matthia Sabatelli; Francesco Bidoia; Valeriu Codreanu; Marco A. Wiering (ICPRAM, 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 (ECML/PKDD (3), 2018)

Extra Domain Data Generation with Generative Adversarial Nets. - Luuk Boulogne; Klaas Dijkstra; Marco A. Wiering (SSCI, 2018)

Hierarchical Reinforcement Learning for Playing a Dynamic Dungeon Crawler Game. - Remi Niel; Marco A. Wiering (SSCI, 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 (SSCI, 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)

Comparing Generative Adversarial Network Techniques for Image Creation and Modification. - Mathijs Pieters; Marco A. Wiering (CoRR, 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)

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)

Deep Quality-Value (DQV) Learning. - Matthia Sabatelli; Gilles Louppe; Pierre Geurts; Marco A. Wiering (BNAIC/BENELEARN, 2019)

Deep Reinforcement Learning for Pellet Eating in Agar.io. - Nil Stolt Ansó; Anton Orell Wiehe; Madalina M. Drugan; Marco A. Wiering (ICAART (2), 2019)

Deep Neural Networks with Intersection over Union Loss for Binary Image Segmentation. - Floris van Beers; Arvid Lindström; Emmanuel Okafor; Marco A. Wiering (ICPRAM, 2019)

Combining Visual and Contextual Information for Fraudulent Online Store Classification. - Wouter Mostard; Bastiaan Zijlema; Marco A. Wiering (WI, 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)

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)

Unsupervised Keyphrase Extraction for Web Pages. - Tim Haarman; Bastiaan Zijlema; Marco A. Wiering (Multimodal Technol. Interact., 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)

Deep Learning with Data Augmentation for Fruit Counting. - Pornntiwa Pawara; Alina Boshchenko; Lambert R. B. Schomaker; Marco A. Wiering (ICAISC (1), 2020)

Forest Fire Control with Learning from Demonstration and Reinforcement Learning. - Travis Hammond; Dirk Jelle Schaap; Matthia Sabatelli; Marco A. Wiering (IJCNN, 2020)

The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms. - Matthia Sabatelli; Gilles Louppe; Pierre Geurts; Marco A. Wiering (IJCNN, 2020)

Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO. - Mario S. Holubar; 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)

Comparing Machine Learning Algorithms with or without Feature Extraction for DNA Classification. - Xiangxie Zhang; Ben Beinke; Berlian Al Kindhi; Marco A. Wiering (CoRR, 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)

Active Learning for Reducing Labeling Effort in Text Classification Tasks. - Pieter Floris Jacobs; Gideon Maillette de Buy Wenniger; Marco A. Wiering; Lambert Schomaker (BNAIC/BENELEARN, 2021)

An Investigation Into the Effect of the Learning Rate on Overestimation Bias of Connectionist Q-learning. - Yifei Chen; Lambert Schomaker; Marco A. Wiering (ICAART (2), 2021)

Explainable Reinforcement Learning for Longitudinal Control. - Roman Liessner; Jan Dohmen; Marco A. Wiering (ICAART (2), 2021)

Decoupling State Representation Methods from Reinforcement Learning in Car Racing. - Juan M. Montoya; Imant Daunhawer; Julia E. Vogt; Marco A. Wiering (ICAART (2), 2021)

Variation-resistant Q-learning: Controlling and Utilizing Estimation Bias in Reinforcement Learning for Better Performance. - Andreas Pentaliotis; Marco A. Wiering (ICAART (2), 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 (ICMLA, 2021)

Explainable Reinforcement Learning with the Tsetlin Machine. - Saeed Rahimi Gorji; Ole-Christoffer Granmo; Marco A. Wiering (IEA/AIE (1), 2021)

Reinforcement Learning with Potential Functions Trained to Discriminate Good and Bad States. - Yifei Chen; S. Hamidreza Kasaei 001; Lambert Schomaker; Marco A. Wiering (IJCNN, 2021)

Semantic Preserving Siamese Autoencoder for Binary Quantization of Word Embeddings. - Wouter Mostard; Lambert Schomaker; Marco A. Wiering (NLPIR, 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)

Fractional Transfer Learning for Deep Model-Based Reinforcement Learning. - Remo Sasso; Matthia Sabatelli; Marco A. Wiering (CoRR, 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)

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)

Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning. - Remo Sasso; Matthia Sabatelli; Marco A. Wiering (Trans. Mach. Learn. Res., 2023)