Institute of Computing Science, Poznan University of Technology
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PhD Theses
Marcin Szubert, Coevolutionary Shaping for Reinforcement Learning , 2014 (main supervisor: prof. Krzysztof Krawiec ).
Master’s Theses
Mateusz Kurek, Deep Reinforcement Learning in Keepaway Soccer , 2015.
Aleksander Kędzierski, Tree-search Algorithms for General Video Game AI Competition (pol. “Algorytmy przeszukiwania drzew stanów dla General Video Game AI Competition”), 2015.
Tomasz Kuliński, Learning n-tuple networks to play Othello using and CMA-ES
(pol. “Uczenie sieci n-krotkowych gry w Othello z wykorzystaniem CMA-ES”)
Filip Cyrus Bober, On Design of Effective AI Agent for StarCraft , 2014.
Piotr Szachewicz, Classification of Motor Imagery for Brain-Computer Interfaces , 2013.
Paweł Liskowski, Co-Evolution Versus Evolution with Random Sampling for Acquiring Othello Position Evaluation , 2012.
3rd place in the Polish Information Processing Society contest for the best master’s thesis in Computer Science, 2012.
Jarosław Janiszewski, Methods for mind-reading (pol. ”Metody czytania w myślach”), 2012.
Marcin Szubert , Coevolutionary Reinforcement Learning and its Application to Othello , 2009 (main supervisor: prof. Krzysztof Krawiec ).
2nd place in the Polish Information Processing Society contest for the best master’s thesis in Computer Science, 2009.
Paweł Lichocki , “Evolving Players for a Real-Time Strategy Game Using Gene Expression Programming “, 2008 (main supervisor: prof. Krzysztof Krawiec).
Bachelor’s Theses
Michał Kempka, Grzegorz Runc, Jakub Toczek & Marek Wydmuch, “VIZIA: 3D Video Game-base Environment for Research on Learning Agents from Raw Visual Information “, 2016.
Dominik Przybyła, A mobile application with a set of exercises to support visual training for visually impaired children (pol. Aplikacja z zestawem ćwiczeń wspomagających trening wzrokowy u dzieci niedowidzących), 2015.
Michał Nowicki, Olgierd Pilarczyk, Jakub Wąsikowski, Katarzyna Zjawin, “Gesture Recognition Library for Leap Motion Controller “, 2014.