Marco A. Wiering

129 papers A* 4A 2B 18C 11Journal 38Unranked 51

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning. Trans. Mach. Learn. Res. Remo Sasso, Matthia Sabatelli, Marco A. Wiering
2022	J	`jnl`	Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning. CoRR Remo Sasso, Matthia Sabatelli, Marco A. Wiering
2021	—	`conf`	Active Learning for Reducing Labeling Effort in Text Classification Tasks. BNAIC/BENELEARN Pieter Floris Jacobs, Gideon Maillette de Buy Wenniger, Marco A. Wiering, Lambert Schomaker
2021	J	`jnl`	Active learning for reducing labeling effort in text classification tasks. CoRR Pieter Floris Jacobs, Gideon Maillette de Buy Wenniger, Marco A. Wiering, Lambert Schomaker
2021	—	`conf`	An Investigation Into the Effect of the Learning Rate on Overestimation Bias of Connectionist Q-learning. ICAART (2) Yifei Chen, Lambert Schomaker, Marco A. Wiering
2021	J	`jnl`	CentroidNetV2: A hybrid deep neural network for small-object segmentation and counting. Neurocomputing Klaas Dijkstra, Jaap van de Loosdrecht, Waatze A. Atsma, Lambert R. B. Schomaker, Marco A. Wiering
2021	—	`conf`	Decoupling State Representation Methods from Reinforcement Learning in Car Racing. ICAART (2) Juan M. Montoya, Imant Daunhawer, Julia E. Vogt, Marco A. Wiering
2021	—	`conf`	Explainable Reinforcement Learning for Longitudinal Control. ICAART (2) Roman Liessner, Jan Dohmen, Marco A. Wiering
2021	—	`conf`	Explainable Reinforcement Learning with the Tsetlin Machine. IEA/AIE (1) Saeed Rahimi Gorji, Ole-Christoffer Granmo, Marco A. Wiering
2021	J	`jnl`	Fractional Transfer Learning for Deep Model-Based Reinforcement Learning. CoRR Remo Sasso, Matthia Sabatelli, Marco A. Wiering
2021	J	`jnl`	LemgoRL: An open-source Benchmark Tool to Train Reinforcement Learning Agents for Traffic Signal Control in a real-world simulation scenario. CoRR Arthur Müller, Vishal Rangras, Georg Schnittker, Michael Waldmann, Maxim Friesen, Tobias Ferfers, Lukas Schreckenberg, Florian Hufen, Jürgen Jasperneite, Marco A. Wiering
2021	B	`conf`	Reinforcement Learning with Potential Functions Trained to Discriminate Good and Bad States. IJCNN Yifei Chen, S. Hamidreza Kasaei, Lambert Schomaker, Marco A. Wiering
2021	—	`conf`	Semantic Preserving Siamese Autoencoder for Binary Quantization of Word Embeddings. NLPIR Wouter Mostard, Lambert Schomaker, Marco A. Wiering
2021	C	`conf`	Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control. ICMLA Arthur Müller, Vishal Rangras, Tobias Ferfers, Florian Hufen, Lukas Schreckenberg, Jürgen Jasperneite, Georg Schnittker, Michael Waldmann, Maxim Friesen, Marco A. Wiering
2021	J	`jnl`	Two-stage visual navigation by deep neural networks and multi-goal reinforcement learning. Robotics Auton. Syst. Amirhossein Shantia, Rik Timmers, Yiebo Chong, Cornel Kuiper, Francesco Bidoia, Lambert Schomaker, Marco A. Wiering
2021	—	`conf`	Variation-resistant Q-learning: Controlling and Utilizing Estimation Bias in Reinforcement Learning for Better Performance. ICAART (2) Andreas Pentaliotis, Marco A. Wiering
2020	J	`jnl`	Comparing Machine Learning Algorithms with or without Feature Extraction for DNA Classification. CoRR Xiangxie Zhang, Ben Beinke, Berlian Al Kindhi, Marco A. Wiering
2020	J	`jnl`	Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO. CoRR Mario S. Holubar, Marco A. Wiering
2020	—	`conf`	Deep Learning with Data Augmentation for Fruit Counting. ICAISC (1) Pornntiwa Pawara, Alina Boshchenko, Lambert R. B. Schomaker, Marco A. Wiering
2020	J	`jnl`	Enhancing reinforcement learning by a finite reward response filter with a case study in intelligent structural control. CoRR Hamid Radmard Rahmani, Carsten Könke, Marco A. Wiering
2020	B	`conf`	Forest Fire Control with Learning from Demonstration and Reinforcement Learning. IJCNN Travis Hammond, Dirk Jelle Schaap, Matthia Sabatelli, Marco A. Wiering
2020	J	`jnl`	One-vs-One classification for deep neural networks. Pattern Recognit. Pornntiwa Pawara, Emmanuel Okafor, Marc Groefsema, Sheng He, Lambert R. B. Schomaker, Marco A. Wiering
2020	B	`conf`	The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms. IJCNN Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering
2019	J	`jnl`	A framework for brain learning-based control of smart structures. Adv. Eng. Informatics Hamid Radmard Rahmani, J. Geoffrey Chase, Marco A. Wiering, Carsten Könke
2019	J	`jnl`	Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms. CoRR Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering
2019	B	`conf`	Combining Visual and Contextual Information for Fraudulent Online Store Classification. WI Wouter Mostard, Bastiaan Zijlema, Marco A. Wiering
2019	C	`conf`	Deep Neural Networks with Intersection over Union Loss for Binary Image Segmentation. ICPRAM Floris van Beers, Arvid Lindström, Emmanuel Okafor, Marco A. Wiering
2019	—	`conf`	Deep Quality-Value (DQV) Learning. BNAIC/BENELEARN Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering
2019	—	`conf`	Deep Reinforcement Learning for Pellet Eating in Agar.io. ICAART (2) Nil Stolt Ansó, Anton Orell Wiehe, Madalina M. Drugan, Marco A. Wiering
2019	J	`jnl`	Hyperspectral demosaicking and crosstalk correction using deep learning. Mach. Vis. Appl. Klaas Dijkstra, Jaap van de Loosdrecht, Lambert R. B. Schomaker, Marco A. Wiering
2019	J	`jnl`	Unsupervised Keyphrase Extraction for Web Pages. Multimodal Technol. Interact. Tim Haarman, Bastiaan Zijlema, Marco A. Wiering
2018	C	`conf`	A Deep Convolutional Neural Network for Location Recognition and Geometry based Information. ICPRAM Francesco Bidoia, Matthia Sabatelli, Amirhossein Shantia, Marco A. Wiering, Lambert Schomaker
2018	—	`conf`	Actor-Critic Reinforcement Learning with Neural Networks in Continuous Games. ICAART (2) Gabriel Leuenberger, Marco A. Wiering
2018	J	`jnl`	An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals. J. Inf. Telecommun. Emmanuel Okafor, Lambert Schomaker, Marco A. Wiering
2018	—	`ed.`	Artificial Intelligence - 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8-9, 2017, Revised Selected Papers BNAIC Bart Verheij, Marco A. Wiering
2018	—	`conf`	CentroidNet: A Deep Neural Network for Joint Object Localization and Counting. ECML/PKDD (3) Klaas Dijkstra, Jaap van de Loosdrecht, Lambert R. B. Schomaker, Marco A. Wiering
2018	J	`jnl`	Comparing Generative Adversarial Network Techniques for Image Creation and Modification. CoRR Mathijs Pieters, Marco A. Wiering
2018	—	`conf`	Deep Learning Policy Quantization. ICAART (2) Jos van de Wolfshaar, Marco A. Wiering, Lambert Schomaker
2018	J	`jnl`	Deep Quality-Value (DQV) Learning. CoRR Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering
2018	—	`conf`	Detection and Recognition of Badgers Using Deep Learning. ICANN (3) Emmanuel Okafor, Gerard Berendsen, Lambert Schomaker, Marco A. Wiering
2018	—	`conf`	Early Detection of Sepsis Induced Deterioration Using Machine Learning. BNCAI Francesco Dal Canton, Vincent M. Quinten, Marco A. Wiering
2018	—	`conf`	Exploration Methods for Connectionist Q-learning in Bomberman. ICAART (2) Joseph Groot Kormelink, Madalina M. Drugan, Marco A. Wiering
2018	—	`conf`	Extra Domain Data Generation with Generative Adversarial Nets. SSCI Luuk Boulogne, Klaas Dijkstra, Marco A. Wiering
2018	—	`conf`	Hierarchical Reinforcement Learning for Playing a Dynamic Dungeon Crawler Game. SSCI Remi Niel, Marco A. Wiering
2018	—	`conf`	Hierarchical Reinforcement Learning for Real-Time Strategy Games. ICAART (2) Remi Niel, Jasper Krebbers, Madalina M. Drugan, Marco A. Wiering
2018	—	`conf`	Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron. ICAART (Revised Selected Papers) Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering
2018	C	`conf`	Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead. ICPRAM Matthia Sabatelli, Francesco Bidoia, Valeriu Codreanu, Marco A. Wiering
2018	—	`conf`	Learning to Play Pac-Xon with Q-Learning and Two Double Q-Learning Variants. SSCI Jits Schilperoort, Ivar Mak, Madalina M. Drugan, Marco A. Wiering
2018	—	`conf`	Opponent Modelling in the Game of Tron using Reinforcement Learning. ICAART (2) Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering
2018	J	`jnl`	Sampled Policy Gradient for Learning to Play the Game Agar.io. CoRR Anton Orell Wiehe, Nil Stolt Ansó, Madalina M. Drugan, Marco A. Wiering
2018	J	`jnl`	Traffic signal optimization through discrete and continuous reinforcement learning with robustness analysis in downtown Tehran. Adv. Eng. Informatics Mohammad Aslani, Stefan Seipel, Mohammad Saadi Mesgari, Marco A. Wiering
2017	—	`conf`	Adversarial Reinforcement Learning in a Cyber Security Simulation. ICAART (2) Richard Elderman, Leon J. J. Pater, Albert S. Thie, Madalina M. Drugan, Marco A. Wiering
2017	C	`conf`	Comparing Local Descriptors and Bags of Visual Words to Deep Convolutional Neural Networks for Plant Recognition. ICPRAM Pornntiwa Pawara, Emmanuel Okafor, Olarik Surinta, Lambert Schomaker, Marco A. Wiering
2017	—	`conf`	Comparison of Machine Learning Techniques for Multi-label Genre Classification. BNCAI Mathijs Pieters, Marco A. Wiering
2017	B	`conf`	Data Augmentation for Plant Classification. ACIVS Pornntiwa Pawara, Emmanuel Okafor, Lambert Schomaker, Marco A. Wiering
2017	B	`conf`	Hyper-spectral frequency selection for the classification of vegetation diseases. ESANN Klaas Dijkstra, Jaap van de Loosdrecht, Lambert Schomaker, Marco A. Wiering
2017	—	`conf`	Learning to Play Donkey Kong Using Neural Networks and Reinforcement Learning. BNCAI Paul Ozkohen, Jelle Visser, Martijn van Otterlo, Marco A. Wiering
2017	C	`conf`	Operational data augmentation in classifying single aerial images of animals. INISTA Emmanuel Okafor, Rik Smit, Lambert Schomaker, Marco A. Wiering
2017	—	`conf`	Predicting long-term mortality with first week post-operative data after Coronary Artery Bypass Grafting using Machine Learning models. MLHC Jose Castela Forte, Marco A. Wiering, Hjalmar R. Bouma, Fred Geus, Anne H. Epema
2017	J	`jnl`	Special issue on multi-objective reinforcement learning. Neurocomputing Madalina M. Drugan, Marco A. Wiering, Peter Vamplew, Madhu Chetty
2017	B	`conf`	Support vector components analysis. ESANN Michiel van der Ree, Jos B. T. M. Roerdink, Christophe Phillips, Gaëtan Garraux, Eric Salmon, Marco A. Wiering
2017	C	`conf`	Using Deep Convolutional Neural Networks to Predict Goal-scoring Opportunities in Soccer. ICPRAM Martijn Wagenaar, Emmanuel Okafor, Wouter Frencken, Marco A. Wiering
2016	—	`conf`	Comparative study between deep learning and bag of visual words for wild-animal recognition. SSCI Emmanuel Okafor, Pornntiwa Pawara, Faik Karaaba, Olarik Surinta, Valeriu Codreanu, Lambert Schomaker, Marco A. Wiering
2016	—	`conf`	Comparing exploration strategies for Q-learning in random stochastic mazes. SSCI Arryon D. Tijsma, Madalina M. Drugan, Marco A. Wiering
2016	—	`conf`	Dynamic parameter update for robot navigation systems through unsupervised environmental situational analysis. SSCI Amirhosein Shantia, Francesco Bidoia, Lambert Schomaker, Marco A. Wiering
2016	J	`jnl`	Evaluating automatically parallelized versions of the support vector machine. Concurr. Comput. Pract. Exp. 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
2016	B	`conf`	Human detection and classification of landing sites for search and rescue drones. ESANN Felipe Martins, Marc de Groot, Xeryus Stokkel, Marco A. Wiering
2016	—	`conf`	Making Sense of Illustrated Handwritten Archives. DH 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
2016	—	`conf`	Q-learning with experience replay in a dynamic environment. SSCI Mathijs Pieters, Marco A. Wiering
2016	—	`conf`	Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients. VISIGRAPP (4: VISAPP) Mahir Faik Karaaba, Olarik Surinta, Lambert R. B. Schomaker, Marco A. Wiering
2015	—	`conf`	Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition. SSCI Jos van de Wolfshaar, Mahir Faik Karaaba, Marco A. Wiering
2015	—	`conf`	Ensemble Methods for Robust 3D Face Recognition Using Commodity Depth Sensors. SSCI Florin Schimbinschi, Lambert Schomaker, Marco A. Wiering
2015	—	`conf`	In-plane Rotational Alignment of Faces by Eye and Eye-pair Detection. VISAPP (2) Mahir Faik Karaaba, Olarik Surinta, Lambert R. B. Schomaker, Marco A. Wiering
2015	B	`conf`	Indoor localization by denoising autoencoders and semi-supervised learning in 3D simulated environment. IJCNN Amirhosein Shantia, Rik Timmers, Lambert Schomaker, Marco A. Wiering
2015	J	`jnl`	Junction detection in handwritten documents and its application to writer identification. Pattern Recognit. Sheng He, Marco A. Wiering, Lambert Schomaker
2015	J	`jnl`	Recognition of handwritten characters using local gradient feature descriptors. Eng. Appl. Artif. Intell. Olarik Surinta, Mahir Faik Karaaba, Lambert R. B. Schomaker, Marco A. Wiering
2015	C	`conf`	Recognizing Handwritten Characters with Local Descriptors and Bags of Visual Words. EANN Olarik Surinta, Mahir Faik Karaaba, Tusar Kanti Mishra, Lambert Schomaker, Marco A. Wiering
2015	—	`conf`	Robust Face Recognition by Computing Distances From Multiple Histograms of Oriented Gradients. SSCI Mahir Faik Karaaba, Olarik Surinta, Lambert Schomaker, Marco A. Wiering
2015	—	`conf`	Temporal Difference Learning for the Game Tic-Tac-Toe 3D: Applying Structure to Neural Networks. SSCI Michiel Van De Steeg, Madalina M. Drugan, Marco A. Wiering
2015	B	`conf`	The neural-SIFT feature descriptor for visual vocabulary object recognition. IJCNN Sybren Jansen, Amirhosein Shantia, Marco A. Wiering
2014	B	`conf`	A Path Planning for Line Segmentation of Handwritten Documents. ICFHR Olarik Surinta, Michiel Holtkamp, Faik Karaaba, Jean-Paul van Oosten, Lambert Schomaker, Marco A. Wiering
2014	—	`conf`	Classification system for mortgage arrear management. CIFEr Zhe Sun, Marco A. Wiering, Nicolai Petkov
2014	J	`jnl`	Machine learning for multi-view eye-pair detection. Eng. Appl. Artif. Intell. Mahir Faik Karaaba, Lambert Schomaker, Marco A. Wiering
2014	—	`conf`	Model-based multi-objective reinforcement learning. ADPRL Marco A. Wiering, Maikel Withagen, Madalina M. Drugan
2013	A	`conf`	A Comparison of Feature and Pixel-Based Methods for Recognizing Handwritten Bangla Digits. ICDAR Olarik Surinta, Lambert Schomaker, Marco A. Wiering
2013	B	`conf`	Bandit-Inspired Memetic Algorithms for solving Quadratic Assignment Problems. IEEE Congress on Evolutionary Computation Francesco Puglierin, Madalina M. Drugan, Marco A. Wiering
2013	—	`conf`	Reinforcement learning in the game of Othello: Learning against a fixed opponent and learning from self-play. ADPRL Michiel van der Ree, Marco A. Wiering
2013	—	`conf`	Reinforcement learning to train Ms. Pac-Man using higher-order action-relative inputs. ADPRL Luuk Bom, Ruud Henken, Marco A. Wiering
2012	—	`ch.`	Conclusions, Future Directions and Outlook. Reinforcement Learning Marco A. Wiering, Martijn van Otterlo
2012	—	`conf`	Handwritten Character Classification using the Hotspot Feature Extraction Technique. ICPRAM (1) Olarik Surinta, Lambert Schomaker, Marco A. Wiering
2012	J	`jnl`	Neural-Fitted TD-Leaf Learning for Playing Othello With Structured Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Sjoerd van den Dries, Marco A. Wiering
2012	—	`book`	Reinforcement Learning Marco A. Wiering, Martijn van Otterlo
2012	—	`ch.`	Reinforcement Learning and Markov Decision Processes. Reinforcement Learning Martijn van Otterlo, Marco A. Wiering
2011	B	`conf`	Connectionist reinforcement learning for intelligent unit micro management in StarCraft. IJCNN Amirhosein Shantia, Eric Begue, Marco A. Wiering
2011	J	`jnl`	Editorial: One Year as EiC, and Editorial-Board Changes at TNN. IEEE Trans. Neural Networks 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
2011	J	`jnl`	Exploiting Best-Match Equations for Efficient Reinforcement Learning. J. Mach. Learn. Res. Harm van Seijen, Shimon Whiteson, Hado van Hasselt, Marco A. Wiering
2011	—	`conf`	Reinforcement learning algorithms for solving classification problems. ADPRL Marco A. Wiering, Hado van Hasselt, Auke-Dirk Pietersma, Lambert Schomaker
2010	C	`conf`	Ensembles of novel visual keywords descriptors for image categorization. ICARCV Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering
2010	J	`jnl`	Feature selection for Bayesian network classifiers using the MDL-FS score. Int. J. Approx. Reason. Madalina M. Drugan, Marco A. Wiering
2010	J	`jnl`	Fixed partitioning and salient points with MPEG-7 cluster correlograms for image categorization. Pattern Recognit. Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering
2010	B	`conf`	Region enhanced neural Q-learning for solving model-based POMDPs. IJCNN Marco A. Wiering, Thijs Kooi
2010	J	`jnl`	Self-Play and Using an Expert to Learn to Play Backgammon with Temporal Difference Learning. J. Intell. Learn. Syst. Appl. Marco A. Wiering
2009	—	`conf`	A theoretical and empirical analysis of Expected Sarsa. ADPRL Harm van Seijen, Hado van Hasselt, Shimon Whiteson, Marco A. Wiering
2009	—	`conf`	An Ensemble of Deep Support Vector Machines for Image Categorization. SoCPaR Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering
2009	B	`conf`	Spatial pyramids and two-layer stacking SVM classifiers for image categorization: A comparative study. IJCNN Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering
2009	—	`conf`	The QV family compared to other reinforcement learning algorithms. ADPRL Marco A. Wiering, Hado van Hasselt
2009	B	`conf`	Using continuous action spaces to solve discrete problems. IJCNN Hado van Hasselt, Marco A. Wiering
2008	—	`ch.`	Democratic Liquid State Machines for Music Recognition. Speech, Audio, Image and Biomedical Signal Processing using Neural Networks Leo Pape, Jornt de Gruijl, Marco A. Wiering
2008	J	`jnl`	Ensemble Algorithms in Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Part B Marco A. Wiering, Hado van Hasselt
2007	J	`jnl`	Recurrent neural network modeling of nearshore sandbar behavior. Neural Networks Leo Pape, B. Gerben Ruessink, Marco A. Wiering, Ian L. Turner
2006	B	`conf`	Cognitive Developmental Pattern Recognition: Learning to learn. SMC Tijn van der Zant, Lambert Schomaker, Marco A. Wiering, Axel Brink
2006	B	`conf`	Neural Network Modelin of Nearshore Sandbar Behavior. IJCNN Leo Pape, B. Gerben Ruessink, Marco A. Wiering, Ian L. Turner
2006	A	`conf`	Red Queen dynamics in a predator-prey ecosystem. GECCO Walter de Back, Marco A. Wiering, Edwin D. de Jong
2006	—	`conf`	Strategies for Ontology Negotiation: Finding the Right Level of Generality. AC Jurriaan van Diggelen, Edwin D. de Jong, Marco A. Wiering
2005	—	`conf`	A Model Based Method for Automatic Facial Expression Recognition. ECML Hans van Kuilenburg, Marco A. Wiering, Marten den Uyl
2004	—	`conf`	Convergence and Divergence in Standard and Averaging Reinforcement Learning. ECML Marco A. Wiering
2004	A*	`conf`	Utile distinction hidden Markov models. ICML Daan Wierstra, Marco A. Wiering
2001	C	`conf`	Clockwork Orange: The Dutch RoboSoccer Team. RoboCup Matthijs T. J. Spaan, Marco A. Wiering, Robert Bartelds, Raymond Donkervoort, Pieter P. Jonker, Frans C. A. Groen
2001	A*	`conf`	Reinforcement Learning in Dynamic Environments using Instantiated Information. ICML Marco A. Wiering
2000	A*	`conf`	Multi-Agent Reinforcement Leraning for Traffic Light Control. ICML Marco A. Wiering
1999	J	`jnl`	Reinforcement Learning Soccer Teams with Incomplete World Models. Auton. Robots Marco A. Wiering, Rafal Salustowicz, Jürgen Schmidhuber
1998	J	`jnl`	Fast Online Q(lambda). Mach. Learn. Marco A. Wiering, Jürgen Schmidhuber
1998	J	`jnl`	Learning Team Strategies: Soccer Case Studies. Mach. Learn. Rafal Salustowicz, Marco A. Wiering, Jürgen Schmidhuber
1998	—	`conf`	Speeding up Q(lambda)-Learning. ECML Marco A. Wiering, Jürgen Schmidhuber
1997	—	`conf`	Evolving Soccer Strategies. ICONIP (1) Rafal Salustowicz, Marco A. Wiering, Jürgen Schmidhuber
1997	J	`jnl`	HQ-Learning. Adapt. Behav. Marco A. Wiering, Jürgen Schmidhuber
1997	C	`conf`	On Learning Soccer Strategies. ICANN Rafal Salustowicz, Marco A. Wiering, Jürgen Schmidhuber
1997	J	`jnl`	Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement. Mach. Learn. Jürgen Schmidhuber, Jieyu Zhao, Marco A. Wiering
1996	A*	`conf`	Solving POMDPs with Levin Search and EIRA. ICML Marco A. Wiering, Jürgen Schmidhuber