Wojciech Jaśkowski

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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= Up one level