A 2D UAV Path Planning Method Based on Reinforcement Learning in the Presence of Dense Obstacles and Kinematic Constraints-Reference-Cited by-同舟云学术

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A 2D UAV Path Planning Method Based on Reinforcement Learning in the Presence of Dense Obstacles and Kinematic Constraints

Published:2022-08-03 Issue: Volume: Page:
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Container-title:2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)
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Author:

Tang Xinming¹,Chai Yi¹,Liu Qie¹

Affiliation:

1. School of Automation, Chongqing University,Chongqing,P. R. China,400044

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9858328/9858343/09858514.pdf?arnumber=9858514

Reference11 articles.

1. Fast Motion Planning for Agile Space Systems with Multiple Obstacles

2. Anytime Motion Planning using the RRT*

3. Q learning algorithm based UAV path learning and obstacle avoidence approach

4. Path planning of mobile robot with path rule mining based on GA

5. Proximal policy optimization algorithms;schulman;ArXiv Preprint,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient Incremental Adaptation Method for Decision-making Model;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

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