Difference between revisions of "Wojciech Jaśkowski"
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* [[Marcin Szubert]], [[Wojciech Jaśkowski]], [[Paweł Liskowski]], [[Krzysztof Krawiec]] ('''2015'''). ''[https://link.springer.com/chapter/10.1007/978-3-319-16549-3_32 The Role of Behavioral Diversity and Difficulty of Opponents in Coevolving Game-Playing Agents]''. [https://dblp.uni-trier.de/db/conf/evoW/evoappl2015.html EvoApplications 2015] | * [[Marcin Szubert]], [[Wojciech Jaśkowski]], [[Paweł Liskowski]], [[Krzysztof Krawiec]] ('''2015'''). ''[https://link.springer.com/chapter/10.1007/978-3-319-16549-3_32 The Role of Behavioral Diversity and Difficulty of Opponents in Coevolving Game-Playing Agents]''. [https://dblp.uni-trier.de/db/conf/evoW/evoappl2015.html EvoApplications 2015] | ||
* [[Wojciech Jaśkowski]] ('''2016'''). ''Mastering 2048 with Delayed Temporal Coherence Learning, Multi-Stage Weight Promotion, Redundant Encoding and Carousel Shaping''. [https://arxiv.org/abs/1604.05085 arXiv:1604.05085] | * [[Wojciech Jaśkowski]] ('''2016'''). ''Mastering 2048 with Delayed Temporal Coherence Learning, Multi-Stage Weight Promotion, Redundant Encoding and Carousel Shaping''. [https://arxiv.org/abs/1604.05085 arXiv:1604.05085] | ||
| − | * [[Paweł Liskowski]], [[Wojciech Jaśkowski]], [[Krzysztof Krawiec]] ('''2017'''). ''Learning to Play Othello with Deep Neural Networks''. [https://arxiv.org/abs/1711.06583 arXiv:1711.06583] | + | * [[Paweł Liskowski]], [[Wojciech Jaśkowski]], [[Krzysztof Krawiec]] ('''2017'''). ''Learning to Play Othello with Deep Neural Networks''. [https://arxiv.org/abs/1711.06583 arXiv:1711.06583] <ref>[https://en.wikipedia.org/wiki/Edax_(computing) Edax] by [[Richard Delorme]]</ref> |
* [[Paweł Liskowski]], [[Wojciech Jaśkowski]], [[Krzysztof Krawiec]] ('''2018'''). ''Learning to Play Othello with Deep Neural Networks''. [[IEEE#TOG|IEEE Transactions on Games]] | * [[Paweł Liskowski]], [[Wojciech Jaśkowski]], [[Krzysztof Krawiec]] ('''2018'''). ''Learning to Play Othello with Deep Neural Networks''. [[IEEE#TOG|IEEE Transactions on Games]] | ||
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'''[[People|Up one level]]''' | '''[[People|Up one level]]''' | ||
[[Category:Researcher|Jaśkowski]] | [[Category:Researcher|Jaśkowski]] | ||
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Revision as of 20:17, 28 June 2020
Home * People * Wojciech Jaśkowski
Wojciech Jaśkowski [1]
Wojciech Jaśkowski,
a Polish computer scientist and researcher with Jürgen Schmidhuber at NNAISENSE [2], 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
[3]
[4].
His research interests include genetic programming, coevolutionary algorithms, evolutionary computation, reinforcement learning, and pattern recognition, using the game of Othello as testbed.
Contents
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 [7]
- 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 [8]
- 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
- Paweł Liskowski, Wojciech Jaśkowski, Krzysztof Krawiec (2017). Learning to Play Othello with Deep Neural Networks. arXiv:1711.06583 [9]
- 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
- ↑ Wojciech Jaśkowski - Google Scholar Citations
- ↑ NNAISENSE - AI For The Physical World
- ↑ Wojciech Jaśkowski (2011). Algorithms for Test-Based Problems. Ph.D. thesis, Poznań University of Technology, supervisor Krzysztof Krawiec, pdf
- ↑ 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)
- ↑ Publications | Wojciech Jaśkowski
- ↑ dblp: Wojciech Jaskowski
- ↑ Ant Wars by Wojciech Jaśkowski
- ↑ 2048 (video game) from Wikipedia
- ↑ Edax by Richard Delorme
