An approximate dynamic programming approach for solving an air combat maneuvering problem
作者：
Highlights：
• Within visual range air combat requires execution of complex & dynamic maneuvers.
• An air combat maneuvering problem is formulated & solved via reinforcement learning.
• Preliminary results indicate high-quality maneuver polices are attainable.
• Our modeling & solution procedures improve behavior of computer generated forces.
• Intelligent behavior within air combat simulations increases quality of insights.
摘要
•Within visual range air combat requires execution of complex & dynamic maneuvers.•An air combat maneuvering problem is formulated & solved via reinforcement learning.•Preliminary results indicate high-quality maneuver polices are attainable.•Our modeling & solution procedures improve behavior of computer generated forces.•Intelligent behavior within air combat simulations increases quality of insights.
论文关键词：Air combat strategy,Approximate dynamic programming,Artificial intelligence,Defense,Reinforcement learning
论文评审过程：Received 16 September 2021, Revised 5 April 2022, Accepted 27 April 2022, Available online 7 May 2022, Version of Record 13 May 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117448
