Author:
Yen Shi-Jim,Chou Cheng-Wei,Chen Jr-Chang,Wu I-Chen,Kao Kuo-Yuan
Publisher
Springer Berlin Heidelberg
Reference24 articles.
1. Borsboom, J., Saito, J., Chaslot, G., Uiterwijk, J.: A comparison of Monte-Carlo methods for Phantom Go. In: Proc. 19th Belgian–Dutch Conference on Artificial Intelligence – BNAIC, Utrecht, The Netherlands (2007)
2. LNAI;G. Broeck Van den,2009
3. Browne, C., Powley, E., Whitehouse, D., Lucas, S., Cowling, P., Rohlfshagen, P., Tavener, S., Perez, D., Samothrakis, S., Colton, S.: A survey of Monte Carlo Tree Search. IEEE Transactions on Computational Intelligence and AI in Games 4(1) (March 2012)
4. Chaslot, G.M.J.-B., Winands, M.H.M., Uiterwijk, J.W.H.M., van den Herik, H.J., Bouzy, B.: Progressive strategies for Monte-Carlo Tree Search. New Mathematics and Natural Computation 4(3), 343–357 (2008)
5. Chen, B.N., Shen, B.-J., Hsu, T.S.: Chinese Dark Chess. ICGA Journal 33(2), 93–106 (2010)
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Game Informatical Analysis of Dark Chess by Game Refinement Theory;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2020
2. Open-Source Oriental Game and Endgame Database;Proceedings of the 2019 3rd International Conference on Innovation in Artificial Intelligence - ICIAI 2019;2019
3. On improving the performance of an open-source oriental game;Proceedings of the 2nd International Conference on Innovation in Artificial Intelligence - ICIAI '18;2018
4. A Quantitative Study of $$2 \times 4$$ 2 × 4 Chinese Dark Chess;Computers and Games;2014
5. Monte-Carlo Tree Reductions for Stochastic Games;Technologies and Applications of Artificial Intelligence;2014