역강화학습을 위한 전이가능 보상함수의 분해Transferable-Reward Decomposition for Inverse Reinforcement Learning

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 46
  • Download : 0
DC FieldValueLanguage
dc.contributor.author장재휘ko
dc.contributor.author박대형ko
dc.date.accessioned2022-11-11T01:00:36Z-
dc.date.available2022-11-11T01:00:36Z-
dc.date.created2022-11-10-
dc.date.created2022-11-10-
dc.date.issued2022-05-13-
dc.identifier.citation제 17회 한국로봇종합학술대회(KRoC 2022)-
dc.identifier.urihttp://hdl.handle.net/10203/299511-
dc.languageKorean-
dc.publisher한국로봇학회 (KROS)-
dc.title역강화학습을 위한 전이가능 보상함수의 분해-
dc.title.alternativeTransferable-Reward Decomposition for Inverse Reinforcement Learning-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname제 17회 한국로봇종합학술대회(KRoC 2022)-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocation휘닉스 평창-
dc.contributor.localauthor박대형-
Appears in Collection
CS-Conference Papers(학술회의논문)
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