Haworth, G.
ORCID: 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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