Hex 2018: MoHex3HNN over DeepEzo

Author:

Gao Chao1,Takada Kei1,Hayward Ryan1

Affiliation:

1. Department of Computing Science, University of Alberta, Canada

Publisher

IOS Press

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,Computational Mechanics,Computer Science (miscellaneous)

Reference3 articles.

1. Gao, C., Müller, M. & Hayward, R. (2018). Three-head neural network architecture for Monte Carlo tree search. In Proc. 27th IJCAI. https://www.ijcai.org/proceedings/2018/0523.pdf.

2. Hex 2017: MoHex wins the 11 × 11 and 13 × 13 tournaments;Hayward;ICGA,2017

3. Huang, S., Arneson, B., Hayward, R.B., Müller, M. & Pawlewicz, J. (2013). Mohex 2.0: A pattern-based MCTS hex player. In H.J. van den Herik, H. Iida and A. Plaat (Eds.), Computers and Games – 8th International Conference, CG 2013. Lecture Notes in Computer Science Yokohama, Japan, August 13–15, 2013 (Vol. 8427, pp. 60–71). Springer. Revised Selected Papers.

Cited by 2 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. Monte Carlo Tree Search: a review of recent modifications and applications;Artificial Intelligence Review;2022-07-19

2. Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

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