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The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.
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  4. 10.5370/KIEE.2018.67.12.1657
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References

1 
Silver D. et al., 2016, Mastering the game of Go with deep neural networks and tree search, Nature, pp. 484-489DOI
2 
Silver D. et al., 2017, Mastering the game of Go without human knowledge, Nature, pp. 354-359DOI
3 
Campbell M. , Joseph Hoane A., Hsu Feng-hsiung, 2002, Deep Blue, Artificial Intelligence, Vol. 134, No. 1-2, pp. 57-83DOI
4 
Buro M., 1997, LOGISTELLO-A Strong Learning Othello Program, NEC Research Institute, Princeton, NJGoogle Search
5 
Rosenbloom P. S., 1982, A World-Championship-Level Othello Program, Artificial Intelligence, Vol. 19, pp. 279-320DOI
6 
Lee K. F., Mahajan S., 1990, The Development of a World Class Othello Program, Artificial Intelligence, Vol. 43, pp. 21-36Google Search
7 
Schaeffer J., van den Herik H. J., 2002, Chips Challenging Champions: Games, Computers and Artificial IntelligenceGoogle Search
8 
Gunawan Hendrawan, Armanto Joan, Santoso Daniel, Giovanni Faris, Kurniawan Ricky, Yudianto Steven, 2012, Evolutionary Neural Network for Othello Game, Procedia -Social and Behavioral Sciences, Vol. 57, pp. 419-425Google Search
9 
Liskowski P., Jaskowski W. M., Krawiec K., 2018, Learning to Play Othello with Deep Neural Networks, in IEEE Transactions on GamesDOI
10 
Sutton R. S., Barto A. G., 1998, Reinforcement Learning : An Introduction, MIT Press, Cambridge, MAGoogle Search
11 
van Eck N. J., van Wezel M., 2005, Reinforcement learning and its application to othello, Technical Report EI 2005-47, Econometric Institute ReportGoogle Search
12 
van der Ree M., Wiering M., 2013, Reinforcement learning in the game of Othello: Learning against a fixed opponent and learning from self-play, 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), Singapore, pp. 108-115Google Search
13 
Fishburn J. P., 1984, Appendix A: Some Optimizations of α-β Search, Analysis of Speedup in Distributed Algorithms, UMI Research Press, pp. 107-111Google Search
14 
Lee S. H., Kim D. Y., Cho Y. W., 2018, Image Recognition based on Deep Learning Using Multi- Dimensional Neural Network and Decision Making Neural Network, Journal of Korean Institute of Intelligent Systems, Vol. 28, No. 1, pp. 34-40Google Search