Journal of Nantong University (Natural Science Edition), Volume. 24, Issue 2, 22(2025)
A Q-learning method for creating a Hex opening library
[6] [6] COULOM R. Efficient selectivity and backup operators in Monte-Carlo tree search[C]//Proceedings of 5th International Conference, CG 2006, May 29-31, 2006, Turin, Italy. Berlin: Springer, 2007: 72-83.
[10] [10] WEI Q L, LIU D R, SHI G. A novel dual iterative Q-learning method for optimal battery management in smart residential environments[J]. IEEE Transactions on Industrial Electronics, 2015, 62(4): 2509-2518.
[13] [13] WANG Y Z, GELLY S. Modifications of UCT and sequence-like simulations for Monte-Carlo Go [C]//Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, April 1-5, 2007, Honolulu, HI, USA. New York: IEEE Xplore, 2007: 175-182.
[16] [16] ARNESON B, HAYWARD R B, HENDERSON P. Monte Carlo tree search in Hex[J]. IEEE Transactions on Computational Intelligence and AI in Games, 2010, 2(4): 251-258.
[20] [20] TANG R K, YUAN H L. An error-sensitive Q-learning approach for robot navigation[C]//Proceedings of the 2015 34th Chinese Control Conference(CCC), July 28-30, 2015, Hangzhou, China. New York: IEEE Xplore, 2015: 5835-5840.
Get Citation
Copy Citation Text
XU Zhifan, LI Yuan, WANG Jingwen, LI Zhuoxuan, CAO Yiding. A Q-learning method for creating a Hex opening library[J]. Journal of Nantong University (Natural Science Edition), 2025, 24(2): 22
Received: May. 29, 2024
Accepted: Aug. 25, 2025
Published Online: Aug. 25, 2025
The Author Email: LI Yuan (syliyuan@sut.edu.cn)