1 Ocak 2018 Konferans bildirisi Açık Erişim

Baspinar, Baris; Koyuncu, Emre

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{
  "@context": "https://schema.org/", 
  "@id": 31943, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Istanbul Tech Univ, Dept Aeronaut Engn, Istanbul, Turkey", 
      "name": "Baspinar, Baris"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Istanbul Tech Univ, Dept Aeronaut Engn, Istanbul, Turkey", 
      "name": "Koyuncu, Emre"
    }
  ], 
  "datePublished": "2018-01-01", 
  "description": "The mission-threat analysis is the key factor in air combat missions. The strategic success evaluation of a mission is done through survivability assessment. The mission assessment process begins with the modeling of threats in which a hostile environment can be constructed through these models. Then, based on the environment model including stochasticity, an optimum strategy maximizing the aircraft's survivability is obtained. This study proposes a survivability analysis and optimal mission planning methodology using reinforcement learning for an aircraft flying in a human-made and hostile natural environment.", 
  "headline": "Survivability based Optimal Air Combat Mission Planning with Reinforcement Learning", 
  "identifier": 31943, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "Survivability based Optimal Air Combat Mission Planning with Reinforcement Learning", 
  "url": "https://aperta.ulakbim.gov.tr/record/31943"
}