Marco Wiering

Mehdi Dastani, Marco Wiering, M. van Otterlo, 2003, IEMC '03 Proceedings. Managing Technologically Driven Organizations: The Human Side of Innovation and Change (IEEE Cat. No.03CH37502).

CMAC models learn to play soccer

Jürgen Schmidhuber, Marco Wiering, Rafal Salustowicz, 1998 .

Red Queen dynamics in a predator-prey ecosystem

Walter de Back, Edwin D. de Jong, Marco Wiering, 2006, GECCO '06.

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

Lambert Schomaker, Florin Schimbinschi, Marco Wiering, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

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

Marco Wiering, Matthia Sabatelli, Valeriu Codreanu, 2018, ICPRAM.

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

Marco Wiering, Sjoerd van den Dries, M. Wiering, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008

Marco Wiering, Hado van Hasselt, 2008, IJCNN.

Learning to Play Board Games using Temporal Dierence Methods

Marco Wiering, Jan Peter Patist, Articial Intelligence, 2005 .

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

Michael G. Paulin, Kazushi Ikeda, Rhee Man Kil, 2011, IEEE Trans. Neural Networks.

Proceedings of IEEE International Conference on Evolutionary Computation

Marco Wiering, Madalina M. Drugan, Madalina M. Drugan, 2013 .

Detection and Recognition of Badgers Using Deep Learning

Lambert Schomaker, Marco Wiering, Emmanuel Okafor, 2018, ICANN.

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

Marco Wiering, Jose Castela Forte, Hjalmar R. Bouma, 2017, MLHC.

Deep Quality-Value (DQV) Learning pdf

Gilles Louppe, Pierre Geurts, Marco Wiering, 2019, BNAIC/BENELEARN.

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

Jürgen Schmidhuber, Jieyu Zhao, Marco Wiering, 1997, Machine Learning.

Data Augmentation for Plant Classification

Lambert Schomaker, Marco Wiering, Pornntiwa Pawara, 2017, ACIVS.

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

Lambert Schomaker, Olarik Surinta, Marco Wiering, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Exploration Methods for Connectionist Q-learning in Bomberman

Marco Wiering, Madalina M. Drugan, Joseph Groot Kormelink, 2018, ICAART.

Robust Real-Time Vowel Classification with an Echo State Network

Ted Schmidt, Marco Wiering, Ronald A. J. van Elburg, 2010 .

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

Shimon Whiteson, Marco Wiering, Harm van Seijen, 2009 .

Convergence and Divergence in Standard and Averaging Reinforcement Learning

Marco Wiering, M. Wiering, 2004, ECML.

Evaluating automatically parallelized versions of the support vector machine

Lambert Schomaker, Olarik Surinta, Marco Wiering, 2016, Concurr. Comput. Pract. Exp..

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

Remco C. Veltkamp, Marco Wiering, Azizi Abdullah, 2009, 2009 International Joint Conference on Neural Networks.

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

Lambert Schomaker, Marco Wiering, Rik Timmers, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Deep Learning with Data Augmentation for Fruit Counting

Marco Wiering, Lambert Schomaker, Pornntiwa Pawara, 2020, ICAISC.

International Conference on Control, Automation, Robotics and Vision

Remco C. Veltkamp, Marco Wiering, Azizi Abdullah, 2010 .

Simple Principles of Metalearning

Jieyu Zhao, Marco Wiering, Juergen Schmidhuber, 1996 .

Toward Artificial Sapience, Principles and Methods for Wise Systems

Mehdi Dastani, John-Jules Ch. Meyer, Marco Wiering, 2008 .

Operational data augmentation in classifying single aerial images of animals

Lambert Schomaker, Marco Wiering, Emmanuel Okafor, 2017, 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA).

Q-learning with experience replay in a dynamic environment

Marco Wiering, Mathijs Pieters, M. Wiering, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Multiple Ant Colony Systems for the Busstop Allocation Problem

Marco Wiering, J. De Jong, J. De Jong, 2001 .

A Path Planning for Line Segmentation of Handwritten Documents

Lambert Schomaker, Olarik Surinta, Mahir Faik Karaaba, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

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

Marco Wiering, Lambert Schomaker, Francesco Bidoia, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Learning to Play Donkey Kong Using Neural Networks and Reinforcement Learning

Marco Wiering, Martijn van Otterlo, Paul Ozkohen, 2017, BNCAI.

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

Marco Wiering, Madalina M. Drugan, Anton Orell Wiehe, 2018, ArXiv.

HQ-Learning: Discovering Markovian Subgoals for Non-Markovian Reinforcement Learning

Marco Wiering, Juergen Schmidhuber, 1996 .

The Neural Support Vector Machine

Marijn F. Stollenga, Marco Wiering, Lambertus Schomaker, 2013 .

Machine Learning for Digital Twins to Predict Responsiveness of Cyber-Physical Energy Systems

Marco Wiering, Jacques Verriet, Jeroen Broekhuijsen, 2020, 2020 8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems.

Reinforcement Learning in Dynamic Environments using Instantiated Information

Marco Wiering, M. Wiering, 2001, ICML.

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

Marco Wiering, Berlian Al Kindhi, Ben Beinke, 2020, ArXiv.

Support vector components analysis

Marco Wiering, Jos B. T. M. Roerdink, Christophe Phillips, 2017, ESANN.

Efficient model-based exploration

Jürgen Schmidhuber, Marco Wiering, J. Schmidhuber, 1998 .

Explorations in efficient reinforcement learning

Marco Wiering, M. Wiering, 1999 .

Actor-Critic Reinforcement Learning with Neural Networks in Continuous Games

Marco Wiering, Gabriel Leuenberger, 2018, ICAART.

The Dual Codebook : Combining Bags of Visual Words in Image Classification

Marco Wiering, Jonathan L. Maas, Emmanuel Okafor, 2016 .

Multi-Agent Reinforcement Learning for Traffic Light control

Marco Wiering, M. Wiering, 2000 .

Intelligent Trac Light Control

Marco Wiering, Jilles Vreeken, Arne Koopman, 2004 .

A framework for brain learning-based control of smart structures

Marco Wiering, Carsten Könke, Hamid Radmard Rahmani, 2019, Adv. Eng. Informatics.

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

Marco Wiering, Wouter Frencken, Emmanuel Okafor, 2017, ICPRAM.

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

Lambert Schomaker, Olarik Surinta, Mahir Faik Karaaba, 2016, VISIGRAPP.

Learning Team Strategies With Multiple Policy-Sharing Agents: A Soccer Case Study

Marco Wiering, Juergen Schmidhuber, Rafal Salustowicz, 1997 .

The neural-SIFT feature descriptor for visual vocabulary object recognition

Marco Wiering, Sybren Jansen, Amirhosein Shantia, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Artificial Intelligence

Bart Verheij, Marco Wiering, M. Wiering, 2017, Communications in Computer and Information Science.

Deep Reinforcement Learning for Pellet Eating in Agar.io

Marco Wiering, Madalina M. Drugan, Anton Orell Wiehe, 2019, ICAART.

Deep Support Vector Machines for Regression Problems

Marco Wiering, Lambertus Schomaker, Marten Schutten, 2013 .

Adversarial Reinforcement Learning in a Cyber Security Simulation

Marco Wiering, Madalina M. Drugan, Richard Elderman, 2017, ICAART.

QV(λ)-learning: A New On-policy Reinforcement Learning Algorithm

Marco Wiering, 2005 .

A theoretical and empirical analysis of Expected Sarsa

Shimon Whiteson, Marco Wiering, Harm van Seijen, 2009, 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning.

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

Marco Wiering, Mario S. Holubar, 2020, ArXiv.

An Analysis on Better Testing than Training Performances on the Iris Dataset

Marco Wiering, Marten Schutten, 2016 .

Handwritten Character Classification using the Hotspot Feature Extraction Technique

Lambert Schomaker, Olarik Surinta, Marco Wiering, 2012, ICPRAM.

A Model Based Method for Automatic Facial Expression Recognition

Marco Wiering, Marten den Uyl, Hans van Kuilenburg, 2005, ECML.

Wild-Anim Dataset

Marco Wiering, Lambertus Schomaker, Emmanuel Okafor, 2019 .

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

Marco Wiering, Felipe Martins, Marc de Groot, 2016, ESANN.

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

Marco Wiering, Lambert Schomaker, Klaas Dijkstra, 2021, Neurocomputing.

One-vs-One classification for deep neural networks

Marco Wiering, Lambert Schomaker, Sheng He, 2020, Pattern Recognit..

Classification system for mortgage arrear management

Nicolai Petkov, Zhe Sun, Marco Wiering, 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

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

Marco Wiering, Madalina M. Drugan, M. Wiering, 2010, Int. J. Approx. Reason..

Utile distinction hidden Markov models

Marco Wiering, Daan Wierstra, Daan Wierstra, 2004, ICML.

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

Lambert Schomaker, Marco Wiering, Klaas Dijkstra, 2018, ECML/PKDD.

Democratic Liquid State Machines for Music Recognition

Marco Wiering, Leo Pape, Jornt de Gruijl, 2008, Speech, Audio, Image and Biomedical Signal Processing using Neural Networks.

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

Lambert Schomaker, Marco Wiering, Emmanuel Okafor, 2018, J. Inf. Telecommun..

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

Lambert Schomaker, Marco Wiering, Matthia Sabatelli, 2018, ICPRAM.

Comparison of Machine Learning Techniques for Multi-label Genre Classification

Marco Wiering, Mathijs Pieters, 2017, BNCAI.

Continuous residual reinforcement learning for traffic signal control optimization

Marco Wiering, Stefan Seipel, Mohammad Aslani, 2018, Canadian Journal of Civil Engineering.

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

Marco Wiering, Michiel van der Ree, 2013, 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Deep Colorization for Facial Gender Recognition

Marco Wiering, Emmanuel Okafor, Jonathan Hogervorst, 2017 .

Recurrent neural network modeling of nearshore sandbar behavior

Marco Wiering, B. Gerben Ruessink, Leo Pape, 2007, Neural Networks.

Cognitive Developmental Pattern Recognition: Learning to learn

Lambert Schomaker, Marco Wiering, Tijn van der Zant, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Hyperspectral demosaicking and crosstalk correction using deep learning

Lambert Schomaker, Marco Wiering, Klaas Dijkstra, 2018, Machine Vision and Applications.

The Dutch AIBO Team 2004

Arnoud Visser, Mannes Poel, Marco Wiering, 2004 .

Markov Decision Processes: Concepts and Algorithms

Marco Wiering, Martijn van Otterlo, M. Wiering, 2012 .

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

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

Hyper-spectral frequency selection for the classification of vegetation diseases

Lambert Schomaker, Marco Wiering, Klaas Dijkstra, 2017, ESANN.

Evolving Soccer Strategies

Jürgen Schmidhuber, Marco Wiering, Rafal Salustowicz, 1997, ICONIP.

Ensemble Algorithms in Reinforcement Learning

Marco Wiering, Hado van Hasselt, H. V. Hasselt, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Deep Learning Policy Quantization

Lambert Schomaker, Marco Wiering, Jos van de Wolfshaar, 2018, ICAART.

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

Marco Wiering, Thijs Kooi, M. Wiering, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Reinforcement Learning Soccer Teams with Incomplete World Models

Jürgen Schmidhuber, Marco Wiering, Rafal Salustowicz, 1999, Auton. Robots.

Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition

Mahir Faik Karaaba, Marco Wiering, Jos van de Wolfshaar, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Hierarchical mixtures of naive Bayes classifiers

Marco Wiering, 2002 .

Recognition of handwritten characters using local gradient feature descriptors

Lambert Schomaker, Olarik Surinta, Mahir Faik Karaaba, 2015, Eng. Appl. Artif. Intell..

IEEE Symposium Series on Computational Intelligence

Lambert Schomaker, Olarik Surinta, Mahir Faik Karaaba, 2015 .

Belgian Dutch Artificial Intelligence Conference

Lambert Schomaker, Marco Wiering, Auke-Dirk Pietersma, 2011 .

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

Marco Wiering, Stefan Seipel, M. S. Mesgari, 2018, Adv. Eng. Informatics.

Reinforcement learning algorithms for solving classification problems

Lambert Schomaker, Marco Wiering, Hado van Hasselt, 2011, 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

An Ensemble of Deep Support Vector Machines for Image Categorization

Remco C. Veltkamp, Marco Wiering, Azizi Abdullah, 2009, 2009 International Conference of Soft Computing and Pattern Recognition.

Comparing exploration strategies for Q-learning in random stochastic mazes

Marco Wiering, Madalina M. Drugan, Arryon D. Tijsma, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Hierarchical Reinforcement Learning for Real-Time Strategy Games

Marco Wiering, Madalina M. Drugan, Remi Niel, 2018, ICAART.

2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

Marco Wiering, Amir Shantia, Eric Begue, 2011, IJCNN 2011.

Conclusions, Future Directions and Outlook

Marco Wiering, Martijn van Otterlo, M. Wiering, 2012, Reinforcement Learning.

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

Marco Wiering, Madalina M. Drugan, Jits Schilperoort, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Junction detection in handwritten documents and its application to writer identification

Lambert Schomaker, Marco Wiering, Sheng He, 2015, Pattern Recognit..

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

Olarik Surinta, Marco Wiering, Lambertus Schomaker, 2017, ICPRAM.

Reinforcement Learning and Markov Decision Processes

Marco Wiering, Martijn van Otterlo, M. Wiering, 2012, Reinforcement Learning.

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

Marco Wiering, Floris van Beers, Emmanuel Okafor, 2019, ICPRAM.

Proceedings of IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning

Marco Wiering, Luuk Bom, Ruud Henken, 2013 .

Combining Visual and Contextual Information for Fraudulent Online Store CIassification

Marco Wiering, Wouter Mostard, Bastiaan Zijlema, 2019, 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

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

Lambert Schomaker, Olarik Surinta, Mahir Faik Karaaba, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Model-based reinforcement learning for evolving soccer strategies

Jürgen Schmidhuber, Marco Wiering, R. P. Sałustowicz, 2001 .

HQ-Learning

Jürgen Schmidhuber, Marco Wiering, J. Schmidhuber, 1997, Adapt. Behav..

Unsupervised Keyphrase Extraction for Web Pages

Marco Wiering, Tim Haarman, Bastiaan Zijlema, 2019, Multimodal Technol. Interact..

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

Remco C. Veltkamp, Marco Wiering, Azizi Abdullah, 2010, Pattern Recognit..

11th International Conference on Computer Vision Theory and Applications

Lambert Schomaker, Olarik Surinta, Mahir Faik Karaaba, 2015 .

Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007

Marco Wiering, Hado van Hasselt, M. Wiering, 2007, IJCNN.

Predicting chaotic time series using machine learning techniques

Marco Wiering, Luuk Boulogne, Alef Sterk, 2017 .

Special issue on multi-objective reinforcement learning

Marco Wiering, Madhu Chetty, Peter Vamplew, 2017, Neurocomputing.

On Learning Soccer Strategies

Jürgen Schmidhuber, Marco Wiering, Rafal Salustowicz, 1997, ICANN.

Fast Online Q(λ)

Jürgen Schmidhuber, Marco Wiering, J. Schmidhuber, 1998, Machine Learning.

Proceedings of the 20 Belgium-Netherlands Conference on Artificial Intelligence,

Marco Wiering, Freek van Polen, Peter Knoth, 2008 .

Categorizing Children: Automated Text Classification of CHILDES files

Marco Wiering, Freek van Polen, Peter Knoth, 2008 .

Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron

Marco Wiering, Madalina M. Drugan, Stefan J. L. Knegt, 2018, ICAART.

Speeding up Q(lambda)-Learning

Jürgen Schmidhuber, Marco Wiering, 1998, ECML.

Neural Network Modelin of Nearshore Sandbar Behavior

Marco Wiering, B. Gerben Ruessink, Leo Pape, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Workshop on "Cognitive and neural models for automated processing of speech and text"

Ted Schmidt, Marco Wiering, Ronald A. J. van Elburg, 2010 .

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

Olarik Surinta, Mahir Faik Karaaba, Marco Wiering, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Regularization, Optimization, Kernels, and Support Vector Machines

Lambert Schomaker, Marco Wiering, 2014 .

Ensembles of novel visual keywords descriptors for image categorization

Remco C. Veltkamp, Marco Wiering, Azizi Abdullah, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

Comparing Generative Adversarial Network Techniques for Image Creation and Modification pdf

Marco Wiering, Mathijs Pieters, M. Wiering, 2018, ArXiv.

Connectionist reinforcement learning for intelligent unit micro management in StarCraft

Marco Wiering, Amirhosein Shantia, Eric Begue, 2011, The 2011 International Joint Conference on Neural Networks.

Reinforcement Learning

Marco Wiering, Martijn van Otterlo, M. Wiering, 2014, Adaptation, Learning, and Optimization.

Making Sense of Illustrated Handwritten Archives

H. Jaap van den Herik, Aske Plaat, Siegfried Nijssen, 2016, DH.

Learning Team Strategies: Soccer Case Studies

Jürgen Schmidhuber, Marco Wiering, Rafal Salustowicz, 1998, Machine Learning.

Developing adaptive traffic signal control by actor–critic and direct exploration methods

Marco Wiering, Stefan Seipel, M. S. Mesgari, 2019, Proceedings of the Institution of Civil Engineers - Transport.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information

Michael J. Watts, Haibo He, Giorgio Battistelli, 2020, IEEE Transactions on Neural Networks and Learning Systems.

The QV family compared to other reinforcement learning algorithms

Marco Wiering, Hado van Hasselt, H. V. Hasselt, 2009, 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning.

Bandit-Inspired Memetic Algorithms for solving Quadratic Assignment Problems

Marco Wiering, Madalina M. Drugan, Francesco Puglierin, 2013, 2013 IEEE Congress on Evolutionary Computation.

Model-based multi-objective reinforcement learning

Marco Wiering, Madalina M. Drugan, Maikel Withagen, 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Using continuous action spaces to solve discrete problems

Marco Wiering, Hado van Hasselt, 2009, 2009 International Joint Conference on Neural Networks.

Solving POMDPs with Levin Search and EIRA

Jürgen Schmidhuber, Marco Wiering, J. Schmidhuber, 1996, ICML.

Hierarchical Reinforcement Learning for Playing a Dynamic Dungeon Crawler Game

Marco Wiering, Remi Niel, M. Wiering, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Adaptive Visual Face Tracking for an Autonomous Robot

Marco Wiering, Herke van Hoof, Tijn van der Zant, 2011 .

Evolving Causal Neural Networks

Marco Wiering, 2002 .

Exploiting Best-Match Equations for Efficient Reinforcement Learning

Shimon Whiteson, Marco Wiering, Harm van Seijen, 2011, J. Mach. Learn. Res..

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

Marco Wiering, Madalina M. Drugan, Michiel Van De Steeg, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Machine learning for multi-view eye-pair detection

Lambert Schomaker, Mahir Faik Karaaba, Marco Wiering, 2014, Eng. Appl. Artif. Intell..

Clockwork Orange: The Dutch RoboSoccer Team

Marco Wiering, Matthijs T. J. Spaan, Frans C. A. Groen, 2001, RoboCup.

Opponent Modelling in the Game of Tron using Reinforcement Learning

Marco Wiering, Madalina M. Drugan, Stefan J. L. Knegt, 2018, ICAART.

Multi-Layer Support Vector Machines

Marco Wiering, Lambertus Schomaker, M. Wiering, 2014 .

Early Detection of Sepsis Induced Deterioration Using Machine Learning

Marco Wiering, Vincent M. Quinten, Francesco Dal Canton, 2018, BNCAI.

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

Marco Wiering, Vishal S. Rangras, Maxim Friesen, 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

Explainable Reinforcement Learning with the Tsetlin Machine

Marco Wiering, Ole-Christoffer Granmo, Saeed Rahimi Gorji, 2021, IEA/AIE.

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

Lambert Schomaker, Marco Wiering, Yifei Chen, 2021, ICAART.

Active learning for reducing labeling effort in text classification tasks

Lambert Schomaker, Marco Wiering, Gideon Maillette de Buy Wenniger, 2021, BNAIC/BENELEARN.

Explainable Reinforcement Learning for Longitudinal Control

Marco Wiering, Roman Liessner, Jan Dohmen, 2021, ICAART.

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

Marco Wiering, Maxim Friesen, Jurgen Jasperneite, 2021, ArXiv.

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

Marco Wiering, Andreas Pentaliotis, 2021, ICAART.

Decoupling State Representation Methods from Reinforcement Learning in Car Racing

Marco Wiering, Julia E. Vogt, Juan M. Montoya, 2021, ICAART.

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

Lambert Schomaker, Marco Wiering, Hamidreza Kasaei, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

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

Lambert Schomaker, Marco Wiering, Francesco Bidoia, 2021, Robotics Auton. Syst..

Hierarchical Assignment of Behaviours to Subpolicies

Marco Wiering, Bram Bakker, Wilco Moerman, 2008 .

Memory-Based Memetic Algorithms

Marco Wiering, M. Wiering, 2004 .