Learning Classifier Systems
- Approaches to fix overgeneralization in strength-based LCS (Master's thesis, contact: David Pätzel)
- Lambda calculus–based Genetic Programming with implementation in Haskell (Master’s or possibly Bachelor’s thesis, contact: David Pätzel)
Hyperparameter-free Genetic Algorithms in evolutionary Machine Learning / Pittsburgh LCS (Master’s thesis, contact: Michael Heider)
Matching in evolutionary Machine Learning / Pittsburgh LCS (Bachelor’s or Master’s thesis, contact: Michael Heider)
Local Models in evolutionary Machine Learning / Pittsburgh LCS for function approximation (Bachelor’s oder Master’s thesis, contact: Michael Heider)
There is a large body of further topics available for prospective students. However, as keeping two pages up to date manually can be problematic some times, they are mostly found on the German version of this page (https://www.uni-augsburg.de/de/fakultaet/fai/informatik/prof/oc/studium-und-lehre/themen-fuer-abschlussarbeiten/). All topics listed there are usually also available for English speaking students. Please refer to the topics there and contact the employees indicated directly for further information. DeepL usually gives a good first impression on what keywords to search for should you want to do prior research.