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Chess endgame news: an Endgame challenge for neural nets

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Haworth, G. orcid id iconORCID: https://orcid.org/0000-0001-9896-1448 (2019) Chess endgame news: an Endgame challenge for neural nets. ICGA Journal, 41 (3). p. 176. ISSN 1389-6911 doi: 10.3233/ICG-190109

Abstract/Summary

This article defines the challenge of training neural-networks on specific chess endgames and benchmarking their efficacy against the existing sub-8-man endgame tables. The key tasks are to measure how well they play and to infer higher-order rules and guidelines for play from them.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/86555
Item Type Article
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
Uncontrolled Keywords AlphaZero, ANN, Artificial Neural Network, Breakout, chess endgame, Deep Mind, EGT, Leela Chess Zero, MCTS, Shannon
Publisher The International Computer Games Association
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