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.
关键词
强博弈对抗/防空反导/深度强化学习/任务分配
Key words
strong gaming countermeasures/air defense and anti-missile/deep reinforcement learn-ing/task assignment
维普
万方数据