Reinforcement learning applied to vessel navigation in fast-time simulations

Detalhes bibliográficos
Autor(a) principal: José Amendola Netto Andrade
Data de Publicação: 2020
Tipo de documento: Dissertação
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9902389
id BRCRIS_05fcc6d880aeef0761e3ee87014c8928
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Reinforcement learning applied to vessel navigation in fast-time simulations
title Reinforcement learning applied to vessel navigation in fast-time simulations
spellingShingle Reinforcement learning applied to vessel navigation in fast-time simulations
Simulações em tempo acelerado
Fast-Time Simulations
José Amendola Netto Andrade
title_short Reinforcement learning applied to vessel navigation in fast-time simulations
title_full Reinforcement learning applied to vessel navigation in fast-time simulations
title_fullStr Reinforcement learning applied to vessel navigation in fast-time simulations
Reinforcement learning applied to vessel navigation in fast-time simulations
title_full_unstemmed Reinforcement learning applied to vessel navigation in fast-time simulations
Reinforcement learning applied to vessel navigation in fast-time simulations
title_sort Reinforcement learning applied to vessel navigation in fast-time simulations
topic Simulações em tempo acelerado
Fast-Time Simulations
publishDate 2020
format masterThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9902389
author_role author
author José Amendola Netto Andrade
author_facet José Amendola Netto Andrade
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/7675510673370463
dc.contributor.advisor1.fl_str_mv EDUARDO AOUN TANNURI
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/0184424645432858
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000-0001-7040-413X
dc.publisher.none.fl_str_mv UNIVERSIDADE DE SÃO PAULO
publisher.none.fl_str_mv UNIVERSIDADE DE SÃO PAULO
instname_str UNIVERSIDADE DE SÃO PAULO
dc.publisher.program.fl_str_mv ENGENHARIA MECÂNICA
dc.description.course.none.fl_txt_mv ENGENHARIA MECÂNICA
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESReinforcement learning applied to vessel navigation in fast-time simulationsReinforcement learning applied to vessel navigation in fast-time simulationsReinforcement learning applied to vessel navigation in fast-time simulationsReinforcement learning applied to vessel navigation in fast-time simulationsReinforcement learning applied to vessel navigation in fast-time simulationsReinforcement learning applied to vessel navigation in fast-time simulationsReinforcement learning applied to vessel navigation in fast-time simulationsSimulações em tempo acelerado2020masterThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=9902389authorJosé Amendola Netto Andradehttp://lattes.cnpq.br/7675510673370463EDUARDO AOUN TANNURIhttp://lattes.cnpq.br/0184424645432858https://orcid.org/0000-0001-7040-413XUNIVERSIDADE DE SÃO PAULOUNIVERSIDADE DE SÃO PAULOUNIVERSIDADE DE SÃO PAULOENGENHARIA MECÂNICAENGENHARIA MECÂNICAPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv Andrade, José Amendola Netto. Reinforcement learning applied to vessel navigation in fast-time simulations. 2020. Tese.
dc.identifier.citation.fl_str_mv Andrade, José Amendola Netto. Reinforcement learning applied to vessel navigation in fast-time simulations. 2020. Tese.
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