Rotting Infinitely Many-Armed Bandits

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 210
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorKim, Jung-Hunko
dc.contributor.authorVojnovic, Milanko
dc.contributor.authorYun, Seyoungko
dc.date.accessioned2022-12-07T12:02:05Z-
dc.date.available2022-12-07T12:02:05Z-
dc.date.created2022-12-03-
dc.date.created2022-12-03-
dc.date.created2022-12-03-
dc.date.issued2022-07-20-
dc.identifier.citationThe 39th International Conference on Machine Learning, ICML 2022-
dc.identifier.urihttp://hdl.handle.net/10203/302034-
dc.languageEnglish-
dc.publisherInternational Conference on Machine Learning (ICML)-
dc.titleRotting Infinitely Many-Armed Bandits-
dc.typeConference-
dc.identifier.wosid000900064901015-
dc.identifier.scopusid2-s2.0-85163078037-
dc.type.rimsCONF-
dc.citation.publicationnameThe 39th International Conference on Machine Learning, ICML 2022-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationBaltimore, Maryland-
dc.contributor.localauthorYun, Seyoung-
dc.contributor.nonIdAuthorVojnovic, Milan-
Appears in Collection
AI-Conference Papers(학술대회논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0