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This paper presents a novel reinforcement learning method for multi-UAV air combat that combines virtual opponent modeling and value attention decomposition to address challenges in cooperative policy derivation. The proposed approach abstracts aircraft actions into game layer and maneuvering actions, optimizing the game layer policy while using a default maneuvering policy. Experimental results demonstrate that this method outperforms existing state-of-the-art techniques in various multi-UAV combat scenari
- Author
- 384498491
- Language
- EN