Autonomous Maneuver Decision of UAV in Air Combat Based on Scenario-Transfer Deep Reinforcement Learning

Author:

Jin Quan,Gao Xianzhong,Guo Zheng,Hou Zhongxi

Publisher

Springer Singapore

Reference10 articles.

1. Gupta, S.G., Ghonge, M., Jawandhiya, F.: Review of unmanned aircraft system (UAS). SSRN Electron. J. 2, 1646–1658 (2013)

2. Shin, H., Lee, J., Kim, H., Shim, D.H.: An autonomous aerial combat framework for two-on-two engagements based on basic fighter maneuvers. Aerosp. Sci. Technol. 72, 305–315 (2017)

3. Burgin, G.H., Owens, A.J.: An adaptive maneuvering logic computer program for the simulation of one-to-one air-to-air combat. Volume 2: Program description (1975)

4. Sutton, R.S., Barto, A.G.: Reinforcement learning: an introduction. IEEE Trans. Neural Netw. 9(5), 1054–1054 (1998)

5. Sutton, R.S., Mcallester, D., Singh, S., Mansour, Y.: Policy gradient methods for reinforcement learning with function approximation. In: Advances in Neural Information Processing Systems 12 (1999)

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