Publications

2017

[1] Mastering 2048 with Delayed Temporal Coherence Learning, Multi-Stage Weight Promotion, Redundant Encoding and Carousel Shaping (Wojciech Jaśkowski), In IEEE Transactions on Computational Intelligence and AI in Games, 2017. [bibtex] [pdf]

2016

[5] Heterogeneous Team Deep Q-Learning in Low-Dimensional Multi-Agent Environments (Mateusz Kurek, Wojciech Jaśkowski), In IEEE Conference on Computational Intelligence and Games, IEEE, 2016. [bibtex] [pdf]
[4] ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning (Michał Kempka, Marek Wydmuch, Grzegorz Runc, Jakub Toczek, Wojciech Jaśkowski), In IEEE Conference on Computational Intelligence and Games, IEEE, 2016. [bibtex] [pdf]
[3] A Hybrid MIP-based Large Neighborhood Search Heuristic for Solving the Machine Reassignment Problem (Wojciech Jaśkowski, Marcin Szubert, Piotr Gawron), In Annals of Operations Research, volume 242, 2016. [bibtex] [pdf] [doi]
[2] Coevolutionary CMA-ES for Knowledge-Free Learning of Game Position Evaluation (Wojciech Jaśkowski, Marcin Szubert), In IEEE Transactions on Computational Intelligence and AI in Games, volume 8, 2016. [bibtex] [pdf] [doi]
[1] Performance Profile: a Multi-Criteria Performance Evaluation Method for Test-Based Problems (Wojciech Jaśkowski, Paweł Liskowski, Marcin Szubert, Krzysztof Krawiec), In International Journal of Applied Mathematics and Computer Science, volume 26, 2016. [bibtex] [pdf] [doi]

2015

[2] High-Dimensional Function Approximation for Knowledge-Free Reinforcement Learning: a Case Study in SZ-Tetris (Wojciech Jaśkowski, Marcin Szubert, Paweł Liskowski, Krzysztof Krawiec), In GECCO'15: Proceedings of the 17th annual conference on Genetic and Evolutionary Computation, ACM Press, 2015. [bibtex] [pdf] [doi]
[1] The Role of Behavioral Diversity and Difficulty of Opponents in Coevolving Game-Playing Agents (Marcin Szubert, Wojciech Jaśkowski, Paweł Liskowski, Krzysztof Krawiec), In EvoApplications 2015 (A. M. Mora, G. Squillero, eds.), Springer, volume 9028, 2015. [bibtex] [doi]

2014

[5] Temporal Difference Learning of N-Tuple Networks for the Game 2048 (Marcin Szubert, Wojciech Jaśkowski), In IEEE Conference on Computational Intelligence and Games, IEEE, 2014. [bibtex] [pdf]
[4] Systematic N-Tuple Networks for Othello Position Evaluation (Wojciech Jaśkowski), In ICGA Journal, volume 37, 2014. [bibtex] [pdf]
[3] Systematic N-tuple Networks for Position Evaluation: Exceeding 90\% in the Othello League (Wojciech Jaśkowski), Technical report, Institute of Computing Science, Poznan University of Technology, 2014. [bibtex] [pdf]
[2] Multi-Criteria Comparison of Coevolution and Temporal Difference Learning on Othello (Wojciech Jaśkowski, Marcin Szubert, Paweł Liskowski), In EvoApplications 2014 (A. I. Esparcia-Alcazar, A. M. Mora, eds.), Springer, volume 8602, 2014. [bibtex] [pdf]
[1] Cross-Task Code Reuse in Genetic Programming Applied to Visual Learning (Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch), In International Journal of Applied Mathematics and Computer Science, volume 24, 2014. [bibtex] [pdf]

2013

[4] Shaping Fitness Function for Evolutionary Learning of Game Strategies (Marcin Szubert, Paweł Liskowski, Wojciech Jaśkowski, Krzysztof Krawiec), In GECCO'13: Proceedings of the 15th annual conference on Genetic and Evolutionary Computation (Christian Blum, ed.), ACM, 2013. [bibtex] [pdf]
[3] Improving Coevolution by Random Sampling (Wojciech Jaśkowski, Paweł Liskowski, Marcin Szubert, Krzysztof Krawiec), In GECCO'13: Proceedings of the 15th annual conference on Genetic and Evolutionary Computation (Christian Blum, ed.), ACM, 2013. [bibtex] [pdf]
[2] Better GP benchmarks: community survey results and proposals (David R. White, James McDermott, Mauro Castelli, Luca Manzoni, Brian Goldman, Gabriel Kronberger, Wojciech Jaśkowski, Una-May O'Reilly, Sean. Luke), In Genetic Programming and Evolvable Machines, volume 14, 2013. [bibtex] [pdf] [doi]
[1] On Scalability, Generalization, and Hybridization of Coevolutionary Learning: a Case Study for Othello (Marcin Szubert, Wojciech Jaśkowski, Krzysztof Krawiec), In IEEE Transactions on Computational Intelligence and AI in Games, volume 5, 2013. [bibtex] [pdf] [doi]

2012

[1] Genetic Programming Needs Better Benchmarks (J. McDermott, D.R. White, S. Luke, L. Manzoni, M. Castelli, L. Vanneschi, W. Jaśkowski, K. Krawiec, R. Harper, K. De Jong, Una-May O'Reilly), In Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference (Terence Soule, ed.), ACM, 2012. [bibtex] [pdf]

2011

[5] How many Dimensions in Cooptimization? (Wojciech Jaśkowski, Krzysztof Krawiec), In Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation (Natalio Krasnogor, ed.), Association for Computing Machinery, 2011. [bibtex] [pdf]
[4] Learning Board Evaluation Function for Othello by Hybridizing Coevolution with Temporal Difference Learning (Marcin Szubert, Wojciech Jaśkowski, Krzysztof Krawiec), In Control and Cybernetics, volume 40, 2011. [bibtex] [pdf]
[3] Evolving Small-Board Go Players using Coevolutionary Temporal Difference Learning with Archive (Krzysztof Krawiec, Wojciech Jaśkowski, Marcin Szubert), In International Journal of Applied Mathematics and Computer Science, volume 21, 2011. [bibtex] [pdf]
[2] Formal Analysis, Hardness and Algorithms for Extracting Internal Structure of Test-Based Problems (Wojciech Jaśkowski, Krzysztof Krawiec), In Evolutionary Computation, volume 19, 2011. [bibtex] [pdf] [doi]
[1] Algorithms for Test-Based Problems (Wojciech Jaśkowski), PhD thesis, Institute of Computing Science, Poznan University of Technology, 2011. (Adviser: Krzysztof Krawiec) [bibtex] [pdf]

2010

[1] Coordinate System Archive for Coevolution (Wojciech Jaśkowski, Krzysztof Krawiec), In Evolutionary Computation (CEC), 2010 IEEE Congress on, 2010. [bibtex] [doi]

2009

[4] Coevolutionary Temporal Difference Learning for Othello (Marcin Szubert, Wojciech Jaśkowski, Krzysztof Krawiec), In IEEE Symposium on Computational Intelligence and Games, 2009. [bibtex] [pdf]
[3] Evolving Teams of Cooperating Agents for Real-Time Strategy Game (Paweł Lichocki, Krzysztof Krawiec, Wojciech Jaśkowski), In Applications of Evolutionary Computing, EvoWorkshops (Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni A. Di Caro, Anikó Ekárt, Anna Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Penousal Machado, Jon McCormack, Michael O'Neill, Ferrante Neri, Mike Preuss, Franz Rothlauf, Ernesto Tarantino, Shengxiang Yang, eds.), Springer, volume 5484, 2009. [bibtex] [doi]
[2] Formal Analysis and Algorithms for Extracting Coordinate Systems of Games (Wojciech Jaśkowski, Krzysztof Krawiec), In IEEE Symposium on Computational Intelligence and Games, 2009. [bibtex] [pdf]
[1] Genetic Programming for Generative Learning and Recognition of Hand-Drawn Shapes (Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch), Chapter in Evolutionary Image Analysis and Signal Processing (Stefano Cagnoni, ed.), Springer Berlin / Heidelberg, volume 213, 2009. [bibtex] [pdf] [doi]

2008

[8] On Selecting the Best Individual in Noisy Environments (Wojciech Jaśkowski, Wojciech Kotłowski), In GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation (Maarten Keijzer, Giuliano Antoniol, Clare Bates Congdon, Kalyanmoy Deb, Benjamin Doerr, Nikolaus Hansen, John H. Holmes, Gregory S. Hornby, Daniel Howard, James Kennedy, Sanjeev Kumar, Fernando G. Lobo, Julian Francis Miller, Jason Moore, Frank Neumann, Martin Pelikan, Jordan Pollack, Kumara Sastry, Kenneth Stanley, Adrian Stoica, El-Ghazali Talbi, Ingo Wegener, eds.), Association for Computing Machinery, 2008. [bibtex] [pdf] [doi]
[7] Fitnessless Coevolution (Wojciech Jaśkowski, Bartosz Wieloch, Krzysztof Krawiec), In GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation (Maarten Keijzer, ed.), Association for Computing Machinery, 2008. [bibtex] [pdf]
[6] Winning Ant Wars: Evolving a Human-Competitive Game Strategy using Fitnessless Selection (Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch), In Genetic Programming 11th European Conference, EuroGP 2008, Proceedings (M. O'Neill, ed.), Springer-Verlag, volume 4971, 2008. [bibtex] [pdf] [doi]
[5] Multi-Task Code Reuse in Genetic Programming (Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch), In GECCO-2008 Late-Breaking Papers (Marc Ebner, Mike Cattolico, Jano van Hemert, Steven Gustafson, Laurence D. Merkle, Frank W. Moore, Clare Bates Congdon, Christopher D. Clack, Frank W. Moore, William Rand, Sevan G. Ficici, Rick Riolo, Jaume Bacardit, Ester Bernado-Mansilla, Martin V. Butz, Stephen L. Smith, Stefano Cagnoni, Mark Hauschild, Martin Pelikan, Kumara Sastry, eds.), Association for Computing Machinery, 2008. [bibtex] [pdf]
[4] The Numerical Measure of Symmetry for 3D Stick Creatures (Wojciech Jaśkowski, Maciej Komosiński), In Artificial Life, volume 14, 2008. [bibtex] [pdf] [doi]
[3] NeuroHunter --- an Entry for the Balanced Diet Contest (Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch), Technical report, Institute of Computing Science, Poznan University of Technology, 2008. (3) [bibtex] [pdf]
[2] Multitask Visual Learning using Genetic Programming (Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch), In Evolutionary Computation, volume 16, 2008. [bibtex] [doi]
[1] Evolving Strategy for a Probabilistic Game of Imperfect Information using Genetic Programming (Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch), In Genetic Programming and Evolvable Machines, volume 9, 2008. [bibtex] [pdf]

2007

[7] BrilliANT: The Winner Entry of the GECCO'2007 Ant Wars Contest (Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch), Technical report, Institute of Computing Science, Poznan University of Technology, 2007. [bibtex] [pdf]
[6] Genetic Programming for Cross-Task Knowledge Sharing (Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch), In GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation (Dirk Thierens, ed.), Association for Computing Machinery, volume 2, 2007. (2) (Nominated to the Best Paper Award in GP track) [bibtex] [pdf]
[5] Knowledge Reuse in Genetic Programming Applied to Visual Learning (Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch), In GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation (Dirk Thierens, ed.), Association for Computing Machinery, volume 2, 2007. (1) [bibtex] [pdf]
[4] Knowledge Reuse for an Ensemble of GP-based Learners (Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch), In Evolutionary Computation and Global Optimization 2007 (Jaroslaw Arabas, ed.), Oficyna Wydawnicza Politechniki Warszawskiej, volume 160, 2007. [bibtex] [pdf]
[3] Learning and Recognition of Hand-drawn Shapes using Generative Genetic Programming (Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch), In Applications of Evolutionary Computing, EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoInteraction, EvoMUSART, EvoSTOC, EvoTransLog (Mario Giacobini, ed.), Springer Verlag, volume 4448, 2007. (EvoWorkshops2007) [bibtex] [pdf] [doi]
[2] 3D-Judge --- A Metaserver Approach to Protein Structure Prediction (Wojciech Jaśkowski, Jacek Blazewicz, Piotr Lukasiak, Maciej Milostan, Natalio Krasnogor), In Foundations of Computing and Decision Sciences, volume 32, 2007. [bibtex] [pdf]
[1] Evolutionary Learning with Cross-Class Knowledge Reuse for Handwritten Character Recognition (Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz Wieloch), In Proceedings of Planning to Learn Workshop, PlanLearn'07 (Pavel Brazdil, Abraham Bernstain, eds.), 2007. [bibtex] [pdf]

2006

[2] Measuring Symmetry of Moving Stick Creatures (Wojciech Jaśkowski, Maciej Komosiński), Technical report, Institute of Computing Science, Poznan University of Technology, 2006. [bibtex] [pdf]
[1] Genetic Programming with Cross-task Knowledge Sharing for Learning of Visual Concepts (Wojciech Jaśkowski), Master's thesis, Poznan University of Technology, 2006. [bibtex] [pdf]