Dr. Marco A. Wiering
Marco A. Wiering, Ph.D. is
Assistant Professor with Tenure Track in the Department of Artificial
Intelligence at the University of Groningen.
Marco finished his Ph.D. with the thesis
Explorations in Efficient Reinforcement Learning
in 1999 at the University of Amsterdam, while he did his
research at IDSIA in Switzerland. From January 2000 until September
2007 he was an assistant professor at University Utrecht.
Marco is now
pursuing a tenure track at the university of Groningen in the field of
cognitive robotics. He is researching the
fields of
machine learning, especially reinforcement learning, robotics, and
machine vision.
He authored
Convergence and Divergence in
Standard and Averaging Reinforcement Learning and
Hierarchical Mixtures of Naive Bayesian Classifiers,
and coauthored
Learning Team Strategies: Soccer Case Studies,
Shifting Inductive Bias with Success-Story
Algorithm Adaptive Levin Search, and
Incremental Self-Improvement,
Simple Principles of Metalearning,
Reinforcement Learning Soccer Teams with Incomplete World
Models,
Intelligent Traffic Light Control,
A Model Based Method for Automatic Facial Expression
Recognition,
Post-Processing for MCMC, and
A Serial Population Genetic Algorithm for Dynamic Optimization
Problems.
In addition to his Ph.D., Marco studied computer science and artificial
intelligence from 1989 to 1995 at the University of Amsterdam and
graduated Cum Laude with the thesis
TD Learning of Game Evaluation Functions with Hierarchical Neural
Architectures.