Levene, Mark and Fenner, Trevor (2011) A methodology for learning players' styles from game records. International Journal of Artificial Intelligence and Soft Computing 2 (4), pp. 272-286. ISSN 1755-4950.
Abstract
We describe a preliminary investigation into learning a Chess player's style from game records. The method is based on attempting to learn features of a player's individual evaluation function using the method of temporal differences, with the aid of a conventional Chess engine architecture. Some encouraging results were obtained in learning the styles of two Chess world champions, and we report on our attempt to use the learnt styles to discriminate between the players from game records, by trying to detect who was playing white and who was playing black. We also discuss some limitations of our approach.
Metadata
| Item Type: | Article |
|---|---|
| Keyword(s) / Subject(s): | temporal difference learning, evaluation function, game records, player styles, computer chess, chess players, game playing, gaming, playing styles |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Birkbeck Knowledge Lab |
| Depositing User: | Administrator |
| Date Deposited: | 14 May 2013 09:51 |
| Last Modified: | 09 Aug 2023 12:33 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/6748 |
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