Marcin Grzegorz Szubert, a Polish computer scientist and assistant professor at the Institute of Computing Science, Poznań University of Technology, where he defended his Ph.D. thesis in 2014 on the concept of shaping in reinforcement learning experimentally verified in nontrivial sequential decision making domains, including the board games of Othello and small board Go [1]. His further research interests include computational intelligence, evolutionary computation, coevolutionary algorithms and the puzzle game 2048 [2]
Marcin Szubert [3]

Selected Publications

• Marcin Szubert, Wojciech Jaśkowski, Krzysztof Krawiec (2009). Coevolutionary Temporal Difference Learning for Othello. IEEE Symposium on Computational Intelligence and Games, pdf
• Krzysztof Krawiec, Marcin Szubert (2010). Coevolutionary Temporal Difference Learning for small-board Go. IEEE Congress on Evolutionary Computation
• Krzysztof Krawiec, Marcin Szubert (2011). Learning N-Tuple Networks for Othello by Coevolutionary Gradient Search. GECCO 2011, pdf
• 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
• 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
• Marcin Szubert, Krzysztof Krawiec (2012). Autonomous Shaping via Coevolutionary Selection of Training Experience. 12. PPSN
• 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
• 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
• 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
• Marcin Szubert (2014). Coevolutionary Shaping for Reinforcement Learning. Ph.D. thesis, Poznań University of Technology, supervisor Krzysztof Krawiec, co-supervisor Wojciech Jaśkowski, pdf

External Links

• Marcin Szubert - Home Page
• Temporal Difference Learning of N-Tuple Networks for the Game 2048 by Marcin Szubert ^[5]
• Marcin Szubert - Google Scholar Citations
• Marcin Szubert · GitHub

References

1. ^ Marcin Szubert (2014). Coevolutionary Shaping for Reinforcement Learning. Ph.D. thesis, Poznań University of Technology, supervisor Krzysztof Krawiec, co-supervisor Wojciech Jaśkowski, pdf
2. ^ Temporal Difference Learning of N-Tuple Networks for the Game 2048 by Marcin Szubert
3. ^ Marcin Szubert - Google Scholar Citations
4. ^ dblp: Marcin Grzegorz Szubert
5. ^ 2048 (video game) from Wikipedia

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