Wojciech Jaśkowski, a Polish computer scientist and 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 [1] [2]. His research interests include genetic programming, coevolutionary algorithms, evolutionary computation, reinforcement learning, and pattern recognition, using the game of Othello as testbed.
Wojciech Jaśkowski [3]

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 ^[6]
• 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. 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, pdf
• 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, Springer, volume 8602
• Marcin Szubert, Wojciech Jaśkowski (2014). Temporal Difference Learning of N-Tuple Networks for the Game 2048. IEEE Conference on Computational Intelligence and Games, pdf ^[7]
• Wojciech Jaśkowski (2014). Systematic n-Tuple Networks for Othello Position Evaluation. ICGA Journal, Vol. 37, No. 2, preprint as pdf » Othello

External Links

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

References

1. ^ Wojciech Jaśkowski (2011). Algorithms for Test-Based Problems. Ph.D. thesis, Poznań University of Technology, supervisor Krzysztof Krawiec, pdf
2. ^ Honourable mention in the competition for the 2011 Polish Artificial Intelligence Society Award for the Best Ph. D. Dissertation in Artificial Intelligence (Polskie Stowarzyszenie Sztucznej Inteligencji)
3. ^ Wojciech Jaśkowski - Google Scholar Citations
4. ^ Publications | Wojciech Jaśkowski
5. ^ dblp: Wojciech Jaskowski
6. ^ Ant Wars by Wojciech Jaśkowski
7. ^ 2048 (video game) from Wikipedia

What links here?