Research on Autonomous Decision-Making of Multi-UAV Air Combat Based on Deep Reinforcement Learning

Author:

Zhou Zhiming,Qi Hongmin,Liu Zhen,Qian Dianwei

Publisher

Springer Nature Singapore

Reference17 articles.

1. Zhang, S., Yu, Z., Dai, L., et al.: Research on the development history current situation, and future application of military UAV technology. Ship Electron. Eng. 41(6), 9–13 (2021)

2. Cao, L.: Key technology of intelligent game confrontation based on deep reinforcement learning. Command Inf. Syst. Technol. 10(5), 1–7 (2019)

3. Pan, Q., Zhou, D., Huang, J., et al.: Maneuver decision for cooperative close-range air combat based on state predicted influence diagram. In: 2017 IEEE International Conference on Information and Automation, Macao, China, pp. 726–731 (2017)

4. Fu, Y., Wang, Y., Chen, Z., et al.: Research on cooperative air combat target decision-making based on multi-agent particle swarm. J. Syst. Simul. 30(11), 4151–4157 (2018)

5. Wang, S.: Research on coordinated air combat decision-making of unmanned aerial vehicle groups. Nanjing University of Aeronautics and Astronautic (2014)

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