Research on Intelligent Evasion Methods for UAV Based on Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Research on Intelligent Evasion Methods for UAV Based on Deep Reinforcement Learning

Published:2024-03-25 Issue: Volume:42 Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Industrial Technology (ICIT)
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Author:

Duan Heran¹,Zhu Zhanxia²,Sun Chong²,Li Jie³,Wang Chuang¹,Xue Mengqi⁴

Affiliation:

1. School of Software, Northwestern Polytechnical University,Xi'an,China

2. School of Astronautics, Northwestern Polytechnical University,Xi'an,China

3. Research Institute of Xi'an Aeronautics Computing Technique,Xi'an,China

4. School of Physics, Hefei University of Technology,Hefei,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10540646/10540608/10541040.pdf?arnumber=10541040

Reference11 articles.

1. A survey of air combat artificial intelligence[J];Sun;Acta Aeronautica et Astronautica Sinica,2021

2. Missile Evasion Maneuver Generation with Model-free Deep Reinforcement Learning

3. Towards Real-Time Path Planning through Deep Reinforcement Learning for a UAV in Dynamic Environments

4. On optimal missile avoidance - a comparison between optimal control and differential game solutions

5. Pilot's Associate - A synergistic system reaches maturity

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