Author:
Liu Shanqi,Cao Junjie,Wang Yujie,Chen Wenzhou,Liu Yong
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference35 articles.
1. E.A. Heinz, New self-play results in computer chess, in: International Conference on Computers and Games, Springer, 2000, pp. 262–276.
2. D. Silver, A. Huang, C.J. Maddison, A. Guez, L. Sifre, G. Van Den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, M. Lanctot, et al., Mastering the game of go with deep neural networks and tree search, nature 529 (7587) (2016) 484.
3. Self-teaching adaptive dynamic programming for gomoku;Zhao;Neurocomputing,2012
4. J. Heinrich, D. Silver, Self-play monte-carlo tree search in computer poker, in: Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014, pp. 19–25.
5. N. Brown, T. Sandholm, Safe and nested subgame solving for imperfect-information games, in: Advances in Neural Information Processing Systems, 2017, pp. 689–699.
Cited by
20 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