Survivability based Optimal Air Combat Mission Planning with Reinforcement Learning


Başpınar B. , Koyuncu E.

IEEE Conference on Control Technology and Applications (CCTA), Copenhagen, Denmark, 21 - 24 August 2018, pp.664-669 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Copenhagen
  • Country: Denmark
  • Page Numbers: pp.664-669

Abstract

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.