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Paweł Liskowski,
a Polish computer scientist and research assistant at the Institute of Computing Science, Poznań University of Technology. His research interest include various subfields of artificial intelligence, such as evolutionary computation, genetic programming, deep learning, reinforcement learning, machine learning and pattern recognition ^[1]. His 2012 master's thesis focuses on comparison and analysis of methods that learn the Othello position evaluation ^[2].

Selected Publications

^{[3] [4]}

• Paweł Liskowski (2012). Co-Evolution versus Evolution with Random Sampling for Acquiring Othello Position Evaluation. master's thesis, Poznań University of Technology, supervisor Wojciech Jaśkowski, pdf
• Paweł Liskowski (2013). Quantitative Analysis of the Hall of Fame Coevolutionary Archives. GECCO '13 Companion Proceedings
• Marcin Szubert, Wojciech Jaśkowski, Paweł Liskowski, Krzysztof Krawiec (2013). Shaping Fitness Function for Evolutionary Learning of Game Strategies. GECCO 2013, pdf
• Wojciech Jaśkowski, Paweł Liskowski, Marcin Szubert, Krzysztof Krawiec (2013). Improving Coevolution by Random Sampling. GECCO 2013, pdf
• Wojciech Jaśkowski, Marcin Szubert, Paweł Liskowski (2014). Multi-Criteria Comparison of Coevolution and Temporal Difference Learning on Othello. EvoApplications 2014, Springer, volume 8602

External Links

• Paweł Liskowski | Institute of Computing Science
• Paweł Liskowski - Google Scholar Citations

References

1. ^ Paweł Liskowski | Institute of Computing Science
2. ^ Paweł Liskowski (2012). Co-evolution versus Evolution with Random Sampling for Acquiring Othello Position Evaluation. master's thesis, Poznań University of Technology, supervisor Wojciech Jaśkowski, pdf
3. ^ dblp: Pawel Liskowski
4. ^ Paweł Liskowski | Publications

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