Author:
He Haohan,Dong Qi,Shang Xiaozhou,Yang Yanyu,Wei Qinglai,Wang Liang
Publisher
Springer Nature Singapore
Reference17 articles.
1. Silver, D., Huang, A., Maddison, C., et al.: Mastering the game of Go with deep neural networks and tree search. Nature 529, 484–489 (2016)
2. Berner, C., Brockman, G., et al.: Dota 2 with large scale deep reinforcement learning. arXiv:1912.06680 (2019)
3. Hu, D., Yang, R., Zuo, J., Zhang, Z., Wu, J., Wang, Y.: Application of deep reinforcement learning in maneuver planning of beyond-visual-range air combat. IEEE Access 9, 32282–32297 (2021)
4. Ren, Z., Zhang, D., Tang, S., Xiong, W., Yang, S.: Cooperative maneuver decision making for multi-UAV air combat based on incomplete information dynamic game. Def. Technol. 27, 308–317 (2022)
5. Pope, A.P., et al.: Hierarchical reinforcement learning for air-to-air combat. In: 2021 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 275–284 (2021)