Application of Model-Based Reinforcement Learning in Path Planning of Unmanned Aerial Vehicle

This paper focuses on the problem of low sample efficiency and poor algorithm robustness of the current reinforcement learning algorithms used for path planning of Unmanned Aerial Vehicle(UAV) platforms.Furthermore, this paper proposes a model-based reinforcement learning algorithm with intrinsic re...

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Bibliographic Details

Published in:	Jisuanji gongcheng
Main Author:	YANG Siming, SHAN Zheng, CAO Jiang, GUO Jiayu, GAO Yuan, GUO Yang, WANG Ping, WANG Jing, WANG Xiaonan
Format:	Article
Language:	English
Published:	Editorial Office of Computer Engineering 2022-12-01
Subjects:	unmanned aerial vehicle(uav)|aerial platform|path planning|reinforcement learning|deep learning
Online Access:	https://www.ecice06.com/fileup/1000-3428/PDF/20221233.pdf