1. Repositório Aberto da Universidade do Porto
  2. FEUP - Faculdade de Engenharia
  3. FEUP - Dissertação
Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/121255
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dc.creatorDiogo Henrique Marques Cruz
dc.date.accessioned2025-11-10T01:17:41Z-
dc.date.available2025-11-10T01:17:41Z-
dc.date.issued2019-07-12
dc.date.submitted2019-07-23
dc.identifier.othersigarra:343528
dc.identifier.urihttps://hdl.handle.net/10216/121255-
dc.language.isoeng
dc.rightsrestrictedAccess
dc.subjectEngenharia electrotécnica, electrónica e informática
dc.subjectElectrical engineering, Electronic engineering, Information engineering
dc.titleDeep Reinforcement Learning in Strategic Multi-Agent Games: the case of No-Press Diplomacy
dc.typeDissertação
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.34626/yce2-8k57
dc.identifier.tid202391310
dc.subject.fosCiências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fosEngineering and technology::Electrical engineering, Electronic engineering, Information engineering
thesis.degree.disciplineMestrado Integrado em Engenharia Informática e Computação
thesis.degree.grantorFaculdade de Engenharia
thesis.degree.grantorUniversidade do Porto
thesis.degree.level1
Appears in Collections:FEUP - Dissertação

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343528.2.pdf
  Restricted Access		Reinforcement Learning in Multi-Agent Games: OpenAI Gym Diplomacy Environment461.83 kBAdobe PDFView/Open
343528.1.pdfDeep Reinforcement Learning in Strategic Multi-Agent Games: the case of No-Press Diplomacy6.99 MBAdobe PDFThumbnail
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343528.tex
  Restricted Access		tex file of Abstract3.88 kBTeXView/Open
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