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A Study on Reinforcement Learning Method for the Deception Behavior : Focusing on Marine Corps Amphibious Demonstrations

강화학습을 활용한 기만행위 모의방법 연구 : 해병대 상륙양동 사례를 중심으로

  • Park, Daekuk (Department of Defense Science, Korea National Defense University) ;
  • Cho, Namsuk (Department of Defense Science, Korea National Defense University)
  • 박대국 (국방대학교 국방과학학과) ;
  • 조남석 (국방대학교 국방과학학과)
  • Received : 2022.03.09
  • Accepted : 2022.07.29
  • Published : 2022.08.05

Abstract

Military deception is an action executed to deliberately mislead enemy's decision by deceiving friendly forces intention. In the lessons learned from war history, deception appears to be a critical factor in the battlefield for successful operations. As training using war-game simulation is growing more important, it is become necessary to implement military deception in war-game model. However, there is no logics or rules proven to be effective for CGF(Computer Generated Forces) to conduct deception behavior automatically. In this study, we investigate methodologies for CGF to learn and conduct military deception using Reinforcement Learning. The key idea of the research is to define a new criterion called a "deception index" which defines how agent learn the action of deception considering both their own combat objectives and deception objectives. We choose Korea Marine Corps Amphibious Demonstrations to show applicability of our methods. The study has an unique contribution as the first research that describes method of implementing deception behavior.

Keywords

References

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