BurmeisterJ., & WilesJ. (1995). http://staff.itee.uq.edu.au/janetw/Computer∼Go/CS-TR-339.html. Computer Go. Technical Report 339, Department of Computer Science, The University of Queensland.
KocsisL., & SzepesváriC. (2006). Bandit based monte-carlo planning. Proceedings of ECML’06, the 17th European conference on Machine Learning, pp. 282–293. doi: 10.1007/11871842_29
8.
SilverD., et al. (2016). Mastering the game of Go with deepneural networks and tree search. Nature, 529(7587), 484–489. doi: 10.1038/nature16961