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Baspinar, Baris; Koyuncu, Emre
{ "@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" }
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