The invention discloses a multi-unmanned aerial vehicle cooperative
attack and defense confrontation method based on a strategy set MADDPG. The method comprises the following steps: firstly, constructing a multi-unmanned aerial vehicle cooperative
attack and defense confrontation combat mission environment; secondly, establishing a combined
state space and a combined action space of the multi-unmanned aerial vehicle
system; then, designing a reward function based on a group target for the multi-unmanned aerial vehicle
attack and defense confrontation problem, wherein the reward function comprises two parts, namely, an attack-party unmanned aerial vehicle and a defense-party unmanned aerial vehicle; thirdly, training the network based on the strategy set MADDPG; and finally, realizing a multi-unmanned aerial vehicle cooperative attack and defense confrontation decision by using the trained
network model. According to the method, the MADDPG
algorithm is improved, the reward function based on a group target is designed, learning of a cooperative attack and defense strategy is guided, the problem that a
single agent in a multi-unmanned aerial vehicle
system has a strong over-fitting strategy for competitors of the agent is effectively solved by using a strategy set, the attack and defense efficiency is higher, therefore, the unmanned aerial vehicle is endowed with a better cooperative attack and defense confrontation capability.