Marco Wiering

According to our database1, Marco Wiering authored at least 85 papers between 1996 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2018
Deep Quality-Value (DQV) Learning.
CoRR, 2018

Sampled Policy Gradient for Learning to Play the Game Agar.io.
CoRR, 2018

Comparing Generative Adversarial Network Techniques for Image Creation and Modification.
CoRR, 2018

Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead.
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.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Detection and Recognition of Badgers Using Deep Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Deep Learning Policy Quantization.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Hierarchical Reinforcement Learning for Real-Time Strategy Games.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Actor-Critic Reinforcement Learning with Neural Networks in Continuous Games.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Exploration Methods for Connectionist Q-learning in Bomberman.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Opponent Modelling in the Game of Tron using Reinforcement Learning.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

2017
Special issue on multi-objective reinforcement learning.
Neurocomputing, 2017

Predicting long-term mortality with first week post-operative data after Coronary Artery Bypass Grafting using Machine Learning models.
Proceedings of the Machine Learning for Health Care, 2017

Operational data augmentation in classifying single aerial images of animals.
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.
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.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Adversarial Reinforcement Learning in a Cyber Security Simulation.
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017

Support vector components analysis.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Hyper-spectral frequency selection for the classification of vegetation diseases.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Comparison of Machine Learning Techniques for Multi-label Genre Classification.
Proceedings of the Artificial Intelligence - 29th Benelux Conference, 2017

Learning to Play Donkey Kong Using Neural Networks and Reinforcement Learning.
Proceedings of the Artificial Intelligence - 29th Benelux Conference, 2017

Data Augmentation for Plant Classification.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017

2016
Evaluating automatically parallelized versions of the support vector machine.
Concurrency and Computation: Practice and Experience, 2016

Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients.
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.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Dynamic parameter update for robot navigation systems through unsupervised environmental situational analysis.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Q-learning with experience replay in a dynamic environment.
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.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Human detection and classification of landing sites for search and rescue drones.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016


2015
Junction detection in handwritten documents and its application to writer identification.
Pattern Recognition, 2015

Recognition of handwritten characters using local gradient feature descriptors.
Eng. Appl. of AI, 2015

In-plane Rotational Alignment of Faces by Eye and Eye-pair Detection.
Proceedings of the VISAPP 2015, 2015

Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition.
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.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Ensemble Methods for Robust 3D Face Recognition Using Commodity Depth Sensors.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Robust Face Recognition by Computing Distances From Multiple Histograms of Oriented Gradients.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Indoor localization by denoising autoencoders and semi-supervised learning in 3D simulated environment.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

The neural-SIFT feature descriptor for visual vocabulary object recognition.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Recognizing Handwritten Characters with Local Descriptors and Bags of Visual Words.
Proceedings of the Engineering Applications of Neural Networks, 2015

2014
Machine learning for multi-view eye-pair detection.
Eng. Appl. of AI, 2014

A Path Planning for Line Segmentation of Handwritten Documents.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

Classification system for mortgage arrear management.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Model-based multi-objective reinforcement learning.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
A Comparison of Feature and Pixel-Based Methods for Recognizing Handwritten Bangla Digits.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Bandit-Inspired Memetic Algorithms for solving Quadratic Assignment Problems.
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.
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.
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.
IEEE Trans. Neural Netw. Learning Syst., 2012

Handwritten Character Classification using the Hotspot Feature Extraction Technique.
Proceedings of the ICPRAM 2012, 2012

2011
Editorial: One Year as EiC, and Editorial-Board Changes at TNN.
IEEE Trans. Neural Networks, 2011

Exploiting Best-Match Equations for Efficient Reinforcement Learning.
Journal of Machine Learning Research, 2011

Connectionist reinforcement learning for intelligent unit micro management in StarCraft.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Reinforcement learning algorithms for solving classification problems.
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.
Pattern Recognition, 2010

Self-Play and Using an Expert to Learn to Play Backgammon with Temporal Difference Learning.
JILSA, 2010

Feature selection for Bayesian network classifiers using the MDL-FS score.
Int. J. Approx. Reasoning, 2010

Region enhanced neural Q-learning for solving model-based POMDPs.
Proceedings of the International Joint Conference on Neural Networks, 2010

Ensembles of novel visual keywords descriptors for image categorization.
Proceedings of the 11th International Conference on Control, 2010

2009
An Ensemble of Deep Support Vector Machines for Image Categorization.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

Using continuous action spaces to solve discrete problems.
Proceedings of the International Joint Conference on Neural Networks, 2009

Spatial pyramids and two-layer stacking SVM classifiers for image categorization: A comparative study.
Proceedings of the International Joint Conference on Neural Networks, 2009

The QV family compared to other reinforcement learning algorithms.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

A theoretical and empirical analysis of Expected Sarsa.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2008
Democratic Liquid State Machines for Music Recognition.
Proceedings of the Speech, 2008

Ensemble Algorithms in Reinforcement Learning.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2008

2007
Recurrent neural network modeling of nearshore sandbar behavior.
Neural Networks, 2007

2006
Cognitive Developmental Pattern Recognition: Learning to learn.
Proceedings of the IEEE International Conference on Systems, 2006

Neural Network Modelin of Nearshore Sandbar Behavior.
Proceedings of the International Joint Conference on Neural Networks, 2006

Red Queen dynamics in a predator-prey ecosystem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Strategies for Ontology Negotiation: Finding the Right Level of Generality.
Proceedings of the Agent Communication II, International Workshops on Agent Communication, 2006

2005
A Model Based Method for Automatic Facial Expression Recognition.
Proceedings of the Machine Learning: ECML 2005, 2005

2004
Utile distinction hidden Markov models.
Proceedings of the Machine Learning, 2004

Convergence and Divergence in Standard and Averaging Reinforcement Learning.
Proceedings of the Machine Learning: ECML 2004, 2004

2001
Clockwork Orange: The Dutch RoboSoccer Team.
Proceedings of the RoboCup 2001: Robot Soccer World Cup V, 2001

Reinforcement Learning in Dynamic Environments using Instantiated Information.
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.
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.
Auton. Robots, 1999

1998
Fast Online Q(lambda).
Machine Learning, 1998

Learning Team Strategies: Soccer Case Studies.
Machine Learning, 1998

Speeding up Q(lambda)-Learning.
Proceedings of the Machine Learning: ECML-98, 1998

1997
Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement.
Machine Learning, 1997

HQ-Learning.
Adaptive Behaviour, 1997

On Learning Soccer Strategies.
Proceedings of the Artificial Neural Networks, 1997

1996
Solving POMDPs with Levin Search and EIRA.
Proceedings of the Machine Learning, 1996


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