Multi-Aircraft Target Assignment Method Based on Reinforcement Learning
LIU Huahua1，2， WANG Qing1，2
1. International Innovation Institute of Beihang University， Hangzhou 311115， Zhejiang， China；
2. School of Automation Science and Electrical Engineering， Beihang University， Beijing 100191， China
Abstract：To resolve the multi-agent multi-target assignment problem in complex environments, a multi-agent target assignment method using reinforcement learning has been proposed in this study. Initially, a battlefield environment model for the execution of tasks by the aircraft was established, extracting and quantifying information on the aircraft's combat capabilities and environmental conditions. Then, a reinforcement learning algorithm was employed to assign multiple groups of combat tasks. Finally, considering aircraft combat losses, dynamic task reassignment was conducted to enhance task completion in response to sudden battlefield situations. Simulation results show that significant effectiveness of the proposed algorithm is achieved.
刘华华, 王青. 基于强化学习的多飞行器目标分配方法[J]. 空天防御, 2024, 7(5): 65-72.
LIU Huahua, WANG Qing. Multi-Aircraft Target Assignment Method Based on Reinforcement Learning. Air & Space Defense, 2024, 7(5): 65-72.
