심층 강화학습 기반의 선박 항로계획 수립

DC Field Value Language
dc.contributor.author Lee, Hyeong-Tak -
dc.contributor.author Hyun, Yang -
dc.contributor.author Cho, Ik-Soon -
dc.date.accessioned 2023-11-17T05:30:04Z -
dc.date.available 2023-11-17T05:30:04Z -
dc.date.created 2023-11-07 -
dc.date.issued 2023-11-03 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/44822 -
dc.description.uri 2 -
dc.language Korean -
dc.publisher 한국항해항만학회 -
dc.title 심층 강화학습 기반의 선박 항로계획 수립 -
dc.title.alternative Generation of ship‘s passage plan based on deep reinforcement learning -
dc.type Conference -
dc.citation.conferenceDate 2023-11-02 -
dc.citation.conferencePlace KO -
dc.citation.conferencePlace 부산도시공사 아르피나 -
dc.citation.endPage 231 -
dc.citation.startPage 230 -
dc.citation.title 2023년 한국항해항만학회 추계학술대회 및 Asia Navigation Conference 2023, Busan -
dc.contributor.alternativeName 이형탁 -
dc.identifier.bibliographicCitation 2023년 한국항해항만학회 추계학술대회 및 Asia Navigation Conference 2023, Busan, pp.230 - 231 -
dc.description.journalClass 2 -
Appears in Collections:
Marine Digital Resources Department > Korea Ocean Satellite Center > 2. Conference Papers
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