Wojciech Jaśkowski

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Wojciech Jaśkowski

Wojciech Jaśkowski,
a Polish computer scientist and researcher with Jürgen Schmidhuber at NNAISENSE , until 2017 assistant professor at the Institute of Computing Science, Poznań University of Technology, where he already defended his Ph.D. thesis in 2011, devoted to a subclass of optimization problems applied to learning game strategies and combinatorial optimizations . His research interests include genetic programming, coevolutionary algorithms, evolutionary computation, reinforcement learning, and pattern recognition, using the game of Othello as testbed.

Selected Publications

2007 ...

• Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch (2007). BrilliANT: The Winner Entry of the GECCO'2007 Ant Wars Contest. Technical report, pdf
• Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch (2008). Winning Ant Wars: Evolving a Human-Competitive Game Strategy using Fitnessless Selection. EuroGP 2008
• Wojciech Jaśkowski, Bartosz Wieloch, Krzysztof Krawiec (2008). Fitnessless Coevolution. GECCO'08, pdf
• Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch (2008). Evolving Strategy for a Probabilistic Game of Imperfect Information using Genetic Programming. Genetic Programming and Evolvable Machines, Vol. 9, No. 4, pdf
• Wojciech Jaśkowski, Krzysztof Krawiec (2009). Formal Analysis and Algorithms for Extracting Coordinate Systems of Games. CIG 2009
• Marcin Szubert, Wojciech Jaśkowski, Krzysztof Krawiec (2009). Coevolutionary Temporal Difference Learning for Othello. IEEE Symposium on Computational Intelligence and Games, pdf

2010 ...

• Krzysztof Krawiec, Wojciech Jaśkowski, Marcin Szubert (2011). Evolving small-board Go players using Coevolutionary Temporal Difference Learning with Archives. International Journal of Applied Mathematics and Computer Science, Vol. 21, No. 4 » Go
• Marcin Szubert, Wojciech Jaśkowski, Krzysztof Krawiec (2011). Learning Board Evaluation Function for Othello by Hybridizing Coevolution with Temporal Difference Learning. Control and Cybernetics, Vol. 40, No. 3, pdf
• Wojciech Jaśkowski (2011). Algorithms for Test-Based Problems. Ph.D. thesis, Poznań University of Technology, supervisor Krzysztof Krawiec
• Marcin Szubert, Wojciech Jaśkowski, Krzysztof Krawiec (2013). On Scalability, Generalization, and Hybridization of Coevolutionary Learning: a Case Study for Othello. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 5, No. 3
• 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
• Marcin Szubert, Wojciech Jaśkowski (2014). Temporal Difference Learning of N-Tuple Networks for the Game 2048. IEEE Conference on Computational Intelligence and Games, pdf
• Wojciech Jaśkowski (2014). Systematic N-tuple Networks for Position Evaluation: Exceeding 90% in the Othello League. arXiv:1406.1509
• Wojciech Jaśkowski (2014). Systematic n-Tuple Networks for Othello Position Evaluation. ICGA Journal, Vol. 37, No. 2 » Othello

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
• Wojciech Jaśkowski (2016). Mastering 2048 with Delayed Temporal Coherence Learning, Multi-Stage Weight Promotion, Redundant Encoding and Carousel Shaping. arXiv:1604.05085
• Wojciech Jaśkowski, Marcin Szubert (2016). Coevolutionary CMA-ES for Knowledge-Free Learning of Game Position Evaluation. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 8, No. 4
• 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
• Paweł Liskowski, Wojciech Jaśkowski, Krzysztof Krawiec (2018). Learning to Play Othello with Deep Neural Networks. IEEE Transactions on Games

External Links

• Wojciech Jaśkowski | LinkedIn
• Wojciech Jaśkowski - Google Scholar Citations
• Wojciech Jaśkowski · GitHub
• Wojciech Jaśkowski | Institute of Computing Science, Poznan University of Technology
• Othello Players

References

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