A transferable neural network for Hex

Author:

Gao Chao1,Yan Siqi1,Hayward Ryan1,Müller Martin1

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)

Reference20 articles.

1. Clark, C. & Storkey, A. (2015). Training deep convolutional neural networks to play Go. In International Conference on Machine Learning (pp. 1766–1774).

2. Coulom, R. (2006). Efficient selectivity and backup operators in Monte-Carlo tree search. In International Conference on Computers and Games (pp. 72–83). Springer.

3. On the complexity of connection games. Recent advances in computer games;Bonnet;Theoretical Computer Science,2016

4. The game of Hex and the Brouwer fixed-point theorem;Gale;The American Mathematical Monthly,1979

5. Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex

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