| 2021 | ICAART | An Investigation Into the Effect of the Learning Rate on Overestimation Bias of Connectionist Q-learning. | Yifei Chen, Lambert Schomaker, Marco A. Wiering |
| 2021 | ICAART | Explainable Reinforcement Learning for Longitudinal Control. | Roman Liessner, Jan Dohmen, Marco A. Wiering |
| 2021 | ICAART | Decoupling State Representation Methods from Reinforcement Learning in Car Racing. | Juan M. Montoya, Imant Daunhawer, Julia E. Vogt, Marco A. Wiering |
| 2021 | ICAART | Variation-resistant Q-learning: Controlling and Utilizing Estimation Bias in Reinforcement Learning for Better Performance. | Andreas Pentaliotis, Marco A. Wiering |
| 2021 | ICMLA | Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control. | Arthur Mller, Vishal Rangras, Tobias Ferfers, Florian Hufen, Lukas Schreckenberg, Jrgen Jasperneite, Georg Schnittker, Michael Waldmann, Maxim Friesen, Marco A. Wiering |
| 2021 | IJCNN | Reinforcement Learning with Potential Functions Trained to Discriminate Good and Bad States. | Yifei Chen, S. Hamidreza Kasaei, Lambert Schomaker, Marco A. Wiering |
| 2020 | ICAISC | Deep Learning with Data Augmentation for Fruit Counting. | Pornntiwa Pawara, Alina Boshchenko, Lambert R. B. Schomaker, Marco A. Wiering |
| 2020 | IJCNN | Forest Fire Control with Learning from Demonstration and Reinforcement Learning. | Travis Hammond, Dirk Jelle Schaap, Matthia Sabatelli, Marco A. Wiering |
| 2020 | IJCNN | The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms. | Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering |
| 2019 | ICAART | Deep Reinforcement Learning for Pellet Eating in Agar.io. | Nil Stolt Ans, Anton Orell Wiehe, Madalina M. Drugan, Marco A. Wiering |
| 2019 | ICPRAM | Deep Neural Networks with Intersection over Union Loss for Binary Image Segmentation. | Floris van Beers, Arvid Lindstrm, Emmanuel Okafor, Marco A. Wiering |
| 2018 | ICAART | Opponent Modelling in the Game of Tron using Reinforcement Learning. | Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering |
| 2018 | ICAART | Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron. | Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering |
| 2018 | ICAART | Exploration Methods for Connectionist Q-learning in Bomberman. | Joseph Groot Kormelink, Madalina M. Drugan, Marco A. Wiering |
| 2018 | ICAART | Actor-Critic Reinforcement Learning with Neural Networks in Continuous Games. | Gabriel Leuenberger, Marco A. Wiering |
| 2018 | ICAART | Hierarchical Reinforcement Learning for Real-Time Strategy Games. | Remi Niel, Jasper Krebbers, Madalina M. Drugan, Marco A. Wiering |
| 2018 | ICAART | Deep Learning Policy Quantization. | Jos van de Wolfshaar, Marco A. Wiering, Lambert Schomaker |
| 2018 | ICANN | Detection and Recognition of Badgers Using Deep Learning. | Emmanuel Okafor, Gerard Berendsen, Lambert Schomaker, Marco A. Wiering |
| 2018 | ICPRAM | A Deep Convolutional Neural Network for Location Recognition and Geometry based Information. | Francesco Bidoia, Matthia Sabatelli, Amirhossein Shantia, Marco A. Wiering, Lambert Schomaker |
| 2018 | ICPRAM | Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead. | Matthia Sabatelli, Francesco Bidoia, Valeriu Codreanu, Marco A. Wiering |
| 2017 | ACIVS | Data Augmentation for Plant Classification. | Pornntiwa Pawara, Emmanuel Okafor, Lambert Schomaker, Marco A. Wiering |
| 2017 | ESANN | Hyper-spectral frequency selection for the classification of vegetation diseases. | Klaas Dijkstra, Jaap van de Loosdrecht, Lambert Schomaker, Marco A. Wiering |
| 2017 | ESANN | Support vector components analysis. | Michiel van der Ree, Jos B. T. M. Roerdink, Christophe Phillips, Gatan Garraux, Eric Salmon, Marco A. Wiering |
| 2017 | ICAART | Adversarial Reinforcement Learning in a Cyber Security Simulation. | Richard Elderman, Leon J. J. Pater, Albert S. Thie, Madalina M. Drugan, Marco A. Wiering |
| 2017 | ICPRAM | 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 |
| 2017 | ICPRAM | Using Deep Convolutional Neural Networks to Predict Goal-scoring Opportunities in Soccer. | Martijn Wagenaar, Emmanuel Okafor, Wouter Frencken, Marco A. Wiering |
| 2017 | INISTA | Operational data augmentation in classifying single aerial images of animals. | Emmanuel Okafor, Rik Smit, Lambert Schomaker, Marco A. Wiering |
| 2016 | ESANN | Human detection and classification of landing sites for search and rescue drones. | Felipe Martins, Marc de Groot, Xeryus Stokkel, Marco A. Wiering |
| 2015 | EANN | Recognizing Handwritten Characters with Local Descriptors and Bags of Visual Words. | Olarik Surinta, Mahir Faik Karaaba, Tusar Kanti Mishra, Lambert Schomaker, Marco A. Wiering |
| 2015 | IJCNN | The neural-SIFT feature descriptor for visual vocabulary object recognition. | Sybren Jansen, Amirhosein Shantia, Marco A. Wiering |
| 2015 | IJCNN | Indoor localization by denoising autoencoders and semi-supervised learning in 3D simulated environment. | Amirhosein Shantia, Rik Timmers, Lambert Schomaker, Marco A. Wiering |
| 2014 | ICFHR | A Path Planning for Line Segmentation of Handwritten Documents. | Olarik Surinta, Michiel Holtkamp, Faik Karaaba, Jean-Paul van Oosten, Lambert Schomaker, Marco A. Wiering |
| 2013 | CEC | Bandit-Inspired Memetic Algorithms for solving Quadratic Assignment Problems. | Francesco Puglierin, Madalina M. Drugan, Marco A. Wiering |
| 2013 | ICDAR | A Comparison of Feature and Pixel-Based Methods for Recognizing Handwritten Bangla Digits. | Olarik Surinta, Lambert Schomaker, Marco A. Wiering |
| 2012 | ICPRAM | Handwritten Character Classification using the Hotspot Feature Extraction Technique. | Olarik Surinta, Lambert Schomaker, Marco A. Wiering |
| 2011 | IJCNN | Connectionist reinforcement learning for intelligent unit micro management in StarCraft. | Amirhosein Shantia, Eric Begue, Marco A. Wiering |
| 2010 | ICARCV | Ensembles of novel visual keywords descriptors for image categorization. | Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering |
| 2010 | IJCNN | Region enhanced neural Q-learning for solving model-based POMDPs. | Marco A. Wiering, Thijs Kooi |
| 2009 | IJCNN | Spatial pyramids and two-layer stacking SVM classifiers for image categorization: A comparative study. | Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering |
| 2009 | IJCNN | Using continuous action spaces to solve discrete problems. | Hado van Hasselt, Marco A. Wiering |
| 2006 | GECCO | Red Queen dynamics in a predator-prey ecosystem. | Walter de Back, Marco A. Wiering, Edwin D. de Jong |
| 2006 | IJCNN | Neural Network Modelin of Nearshore Sandbar Behavior. | Leo Pape, B. Gerben Ruessink, Marco A. Wiering, Ian L. Turner |
| 2006 | SMC | Cognitive Developmental Pattern Recognition: Learning to learn. | Tijn van der Zant, Lambert Schomaker, Marco A. Wiering, Axel Brink |
| 2004 | ICML | Utile distinction hidden Markov models. | Daan Wierstra, Marco A. Wiering |
| 2001 | ICML | Reinforcement Learning in Dynamic Environments using Instantiated Information. | Marco A. Wiering |
| 2001 | RoboCup | Clockwork Orange: The Dutch RoboSoccer Team. | Matthijs T. J. Spaan, Marco A. Wiering, Robert Bartelds, Raymond Donkervoort, Pieter P. Jonker, Frans C. A. Groen |
| 2000 | ICML | Multi-Agent Reinforcement Leraning for Traffic Light Control. | Marco A. Wiering |
| 1997 | ICANN | On Learning Soccer Strategies. | Rafal Salustowicz, Marco A. Wiering, Jrgen Schmidhuber |
| 1997 | ICONIP | Evolving Soccer Strategies. | Rafal Salustowicz, Marco A. Wiering, Jrgen Schmidhuber |
| 1996 | ICML | Solving POMDPs with Levin Search and EIRA. | Marco A. Wiering, Jrgen Schmidhuber |