Cooperative Target Pursuit by Multiple Fixed-wing UAVs Based on Deep Reinforcement Learning and Artificial Potential Field-Reference-Cited by-同舟云学术

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Cooperative Target Pursuit by Multiple Fixed-wing UAVs Based on Deep Reinforcement Learning and Artificial Potential Field

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 42nd Chinese Control Conference (CCC)
language:
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Author:

Zhao Feng¹,Hua Yongzhao²,Zheng Hongwei³,Yu Jianglong¹,Dong Xiwang²,Li Qingdong¹,Ren Zhang¹

Affiliation:

1. The School of Automation Science and Electrical Engineering,Beihang University,Beijing,China,100191

2. Institute of Artificial Intelligence,Beihang University,Beijing,China,100191

3. Beijing Academy of Blockchain and Edge Computing,Beijing,China,100080

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10239690/10239711/10241187.pdf?arnumber=10241187

Reference17 articles.

1. Pursuit–evasion games in the presence of obstacles

2. Intercepting Rogue Robots: An Algorithm for Capturing Multiple Evaders With Multiple Pursuers

3. Adversary agent reinforcement learning for pursuit-evasion;huang;ArXiv,2021

4. Decentralized optimal large scale multi-player pursuit-evasion strategies: A mean field game approach with reinforcement learning

5. Switched and Symmetric Pursuit/Evasion Games Using Online Model Predictive Control With Application to Autonomous Aircraft

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1. A Robust Hybrid Iterative Learning Formation Strategy for Multi-Unmanned Aerial Vehicle Systems with Multi-Operating Modes;Drones;2024-08-19

2. An efficient reinforcement learning scheme for the confinement escape problem;Applied Soft Computing;2024-02

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