Intelligent Task Assignment Research for Air Defense and Anti-missiles Based on Deep Reinforcement Learning
With the continuous adoption of new technologies by both combatants,warfare in the infor-mation age has taken on a strongly game-based adversarial nature.Based on the analysis of the process of air defence and anti-missile mission assignment and the nature of decision-making,the challenges faced by air defense and anti-missile mission assignment in a strong game confrontation environment are ex-plored in depth from both the perspectives of enemy and us.The advantages of the deep reinforcement learning-based intelligent task assignment method for air defense and anti-missile defense are discussed,and the key problems faced by the practical application of intelligent task allocation,the promising techni-cal ways to solve the relevant problems and the method evaluation indexes are proposed to provide new ideas for intelligent task assignment for air defense and anti-missile defense.
strong gaming countermeasuresair defense and anti-missiledeep reinforcement learn-ingtask assignment
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维普
