Kolpaczki, Patrick; Bengs, Viktor und Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(September 2021):
Identifying Top-k Players in Cooperative Games via Shapley Bandits.
LWDA’21: Lernen, Wissen, Daten, Analysen, Munich, Germany, 1. - 3. September, 2021.
In: Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR,
Vol. 2993
pp. 133-144
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External fulltext: http://ceur-ws.org/Vol-2993/paper-13.pdf
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Form of publication: | Submitted Version |
| Keywords: | Shapley value; Cooperative games; Multi-armed bandit; Multiple arms identification |
| Faculties: | Mathematics, Computer Science and Statistics > Computer Science > Artificial Intelligence and Machine Learning |
| Subjects: | 000 Computer science, information and general works > 000 Computer science, knowledge, and systems |
| URN: | urn:nbn:de:bvb:19-epub-92527-0 |
| Item ID: | 92527 |
| Date Deposited: | 29. Jun 2022 16:31 |
| Last Modified: | 11. Oct 2024 14:42 |
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