PaweC582 Liskowski

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Paweł Liskowski [1] Paweł Liskowski,

a Polish computer scientist and assistant professor 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 [2]. His 2012 master’s thesis focuses on comparison and analysis of methods that learn the Othello position evaluation [3].

2012 …#

• Paweł Liskowski (2012). Co-Evolution versus Evolution with Random Sampling for Acquiring Othello Position Evaluation. Master’s thesis, Poznań University of Technology, advisor Wojciech Jaśkowski, pdf
• Paweł Liskowski (2013). Quantitative Analysis of the Hall of Fame Coevolutionary Archives. GECCO ‘13
• 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, Applications of Evolutionary Computation

2015 …#

• Marcin Szubert, Wojciech Jaśkowski, Paweł Liskowski, Krzysztof Krawiec (2015). The Role of Behavioral Diversity and Difficulty of Opponents in Coevolving Game-Playing Agents. EvoApplications 2015
• Paweł Liskowski, Krzysztof Krawiec (2016). Segmenting Retinal Blood Vessels With Deep Neural Networks. IEEE Transactions on Medical Imaging, Vol. 35, No. 11
• Wojciech Jaśkowski, Paweł Liskowski, Marcin Szubert, Krzysztof Krawiec (2016). The performance profile: A multi–criteria performance evaluation method for test–based problems. International Journal of Applied Mathematics and Computer Science, Vol. 26, No. 1
• Paweł Liskowski, Wojciech Jaśkowski, Krzysztof Krawiec (2017). Learning to Play Othello with Deep Neural Networks. arXiv:1711.06583 [6]
• Paweł Liskowski, Wojciech Jaśkowski, Krzysztof Krawiec (2018). Learning to Play Othello with Deep Neural Networks. IEEE Transactions on Games
• Paweł Liskowski (2018). Heuristic Algorithms for Discovery of Search Objectives in Test-based Problems. Ph.D. thesis, Poznań University of Technology, advisor Krzysztof Krawiec, pdf

External Links#

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

References#

1. ↑ Paweł Liskowski - Google Scholar Citations
2. ↑ Paweł Liskowski | Institute of Computing Science
3. ↑ 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
4. ↑ dblp: Pawel Liskowski
5. ↑ Paweł Liskowski | Publications
6. ↑ Edax by Richard Delorme

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