Unmanned aerial vehicle cluster intelligent confrontation strategy generation method based on group collaboration

The invention discloses an unmanned aerial vehicle cluster intelligent confrontation strategy generation method based on group cooperation, and belongs to the technical field of artificial intelligence and reinforcement learning. The method comprises the steps that path planning strategy modeling is carried out by using an MADDPG reinforcement learning model based on a multi-head attention mechanism, the model comprises a performer network and a reviewer network which are respectively used for generating and evaluating an action strategy, and meanwhile, an action range is limited in output of the two networks by using an action space cutting and expanding technology; and a reward function based on cooperative interference is constructed for encouraging cluster cooperation, and finally, a near-end strategy optimization method is adopted to control the model iteration rate, so that excessive difference between front and back strategies is prevented. According to the method, the path planning strategy of electro