Research on the Multiagent Joint Proximal Policy Optimization Algorithm Controlling Cooperative Fixed-Wing UAV Obstacle Avoidance

Research on the Multiagent Joint Proximal Policy Optimization Algorithm Controlling Cooperative Fixed-Wing UAV Obstacle Avoidance

Multiple unmanned aerial vehicle (UAV) collaboration has great potential. To increase the intelligence and environmental adaptability of multi-UAV control, we study the application of deep reinforcement learning algorithms in the field of multi-UAV cooperative control. Aiming at the problem of a non...

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Bibliographic Details
Main Authors: Weiwei Zhao, Hairong Chu, Xikui Miao, Lihong Guo, Honghai Shen, Chenhao Zhu, Feng Zhang, Dongxin Liang
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
reinforcement learning
proximal policy optimization (PPO)
the joint state-value function
multiagent cooperative
multiple unmanned aerial vehicles (multi-UAV) formation
obstacle avoidance
Online Access:https://www.mdpi.com/1424-8220/20/16/4546

Internet

https://www.mdpi.com/1424-8220/20/16/4546

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