Chess endgame news: an Endgame challenge for neural nets
Haworth, G.
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.3233/ICG-190109 Abstract/SummaryThis 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.
Download Statistics DownloadsDownloads per month over past year Altmetric Deposit Details References University Staff: Request a correction | Centaur Editors: Update this record |