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Aircraft Reinforcement Learning using Curriculum Learning
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커리큘럼 러닝을 이용한 항공기 강화학습

논문 기본 정보

Type
Academic journal
Author
Jung Ho Bae (국방과학연구소) Yun-Seong Kang (국방과학연구소) Sukmin Yoon (국방과학연구소) Yong-Duk Kim (국방과학연구소  ) Sungho Kim (국방과학연구소)
Journal
Korean Institute of Information Scientists and Engineers Journal of KIISE Vol.48 No.6 KCI Excellent Accredited Journal
Published
2021.6
Pages
707 - 712 (6page)
DOI
10.5626/JOK.2021.48.6.707

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Aircraft Reinforcement Learning using Curriculum Learning
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Abstract· Keywords

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Diverse algorithms have been proposed to control unmanned aircrafts. However, they have limitations such as long exploration time and/or unclear behavior rules. To overcome the drawbacks and for efficient training, we propose an aircraft control technique using deep reinforcement learning applying antenna train angle (ATA) based curriculum learning. To validate the effectiveness of the proposed technique, we constructed a 3D simulation environment adapting a 6-DOF aircraft point model and conducted training with an initial setting of two fighters in the neutral position situation where they are looking back. The results showed that the proposed technique can achieve the goal of ATA 180° when the fighters are looking back without adding supplemental reward functions, while the deep reinforcement learning (DRL) without ATA curriculum could not succeed the learning over ATA 60° in a limited training time.
#심층강화학습 #커리큘럼러닝 #항공기 제어 #조준각도 #deep reinforcement learning #curriculum learning #aircraft control #ATA

Contents

요약
Abstract
1. 서론
2. 연구 배경
3. ATA 기반 커리큘럼 러닝
4. 실험
5. 결론 및 향후 연구
References

References (17)

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D. Javorsek, "Air Combat Evlution (ACE)," http://darpa.mil/program/air-combat-evolution L. FU and H. XIE, "An UAV Air-combat Decision Expert System based on Receding Horizon Control," Journal of Beijing University of Aeronautics and Astronautics, Vol. 41, No. 11, pp. 1994.1999, 2015. google schola H. Park, B.Y. Lee, and M. J. Tahkl, "Differential Game based Air Combat Maneuver Generation Using Scoring Function Matix," Int’l Journal of Aeronautical & Space Sciences, Vol. 17, No. 2, pp. 204-213, 2015. google schola R. Z. Xie, J. Y. Li, and D. L. Luo, "Research on Maneuvering Decisions for Multi-UAVs Air Combat," IEEE Int’l Conf. Control & Automation, pp. 767-772, 2014. google schola R. E. Smith, B. A. Dike, R. K. Mehra, B. Ravichandran, and A. El-Fallah, "Classifier Systems in combat: Two-sided Learning of Maneuvers for Advanced Fighter Aircraft," Computer Methods in Applied Mechanics & Engineering, Vol. 186, No. 2, pp. 421-437, 2000. google schola

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