Open Access
Volume 41, Number 1, February 2023
Page(s) 56 - 64
Published online 02 June 2023
  1. EHTAMO H, RAIVIO T. On Applied nonlinear and bilevel programming for some pursuit-evasion games[J]. Journal of Optimization Theory and Applications, 2001, 108(1): 65–96 [Article] [Google Scholar]
  2. GU Jiaojiao, ZHAO Jianjun, LIU Weihua. Air combat maneuvering decision framework based on game theory and memetic algorithm[J]. Electronics Optics & Control, 2015, 22(1): 20–23 [Article] (in Chinese) [CrossRef] [Google Scholar]
  3. WAN Wei, JIANG Changsheng, WU Qingxian. Application of one-step prediction influence diagram in air combat maneuvering decision[J]. Electronics Optics & Control, 2009, 16(7): 13–17 [Article] (in Chinese) [Google Scholar]
  4. KUMAR S, JAIN S, KUMAR H. Prediction of jatropha-algae biodiesel blend oil yield with the application of artificial neural networks technique[J]. Energy Sources, 2018, 41(7/8/9/10/11/12): 1285–1295 [Google Scholar]
  5. SMITH R E, DIKE B A, MEHRA R K. Classifier systems in combat: two-sided learning of maneuvers for advanced fighter aircraft[J]. Computer Methods in Applied Mechanics and Engineering, 2000, 186(2/3/4): 421–437 [Article] [Google Scholar]
  6. DING Linjing, YANG Qiming. Research on air combat maneuver decision of UAVs based on reinforcement learning[J]. Avionics Technology, 2018, 49(2): 29–35 [Article] (in Chinese) [Google Scholar]
  7. YANG Q, ZHANG J, SHI G, et al. Maneuver decision of UAV in short-range air combat based on deep reinforcement learning[J]. IEEE Access, 2020, 8: 363–378 [Article] [CrossRef] [Google Scholar]
  8. BAI S, SONG S, LIANG S, et al. UAV maneuvering decision-making algorithm based on twin delayed deep deterministic policy gradient algorithm[J]. Journal of Artificial Intelligence and Technology, 2022, 2(1): 16–22 [Google Scholar]
  9. LI B, YANG Z P, CHEN D Q, et al.Maneuvering target tracking of UAV based on MN-DDPG and transfer learning[J]. Defence Technology, 2021, 17(2): 457–466 [Article] [CrossRef] [Google Scholar]
  10. WANG L, HU J, XU Z, et al.Autonomous maneuver strategy of swarm air combat based on DDPG[J]. Journal of Artificial Intelligence and Technology, 2021, 1(1): 232–243 [Article] [Google Scholar]
  11. ZHANG J, YANG Q, SHI G, et al.UAV cooperative air combat maneuver decision based on multi-agent reinforcement learning[J]. Journal of Systems Engineering & Electronics, 2021, 32(6): 1421–1438 [Google Scholar]
  12. HAN Zhanpeng, WANG Yuhui, CHENG Cong. Summary on situation assessment method research[J]. Aero Weaponry, 2013(1): 14–19 [Article] (in Chinese) [Google Scholar]
  13. MAO Mengyue, ZHANG An, ZHOU Ding, et al. Reinforcement learning of UCAV air combat based on maneuver prediction[J]. Electronics Optics and Control, 2019, 26(2): 5–10 [Article] (in Chinese) [Google Scholar]

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