A Review of Research on the Application of Deep Reinforcement Learning in Unmanned Aerial Vehicle Resource Allocation and Trajectory Planning-Reference-Cited by-同舟云学术

A Review of Research on the Application of Deep Reinforcement Learning in Unmanned Aerial Vehicle Resource Allocation and Trajectory Planning

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)
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Author:

Cai Yanan¹,Zhang Erqing¹,Qi Yali¹,Lu Likun¹

Affiliation:

1. Beijing Institute of Graphic Communication,School of Information Engineering,Beijing,China

Funder

Beijing Institute of Graphic Communication

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10125291/10125300/10125466.pdf?arnumber=10125466

Reference15 articles.

1. Continuous control with deep reinforcement learning[C];lillicrap;4th International Conference on Learning Representations ICLR 2016,2016

2. Deep reinforcement learning and research progress in path planning;zhang;Computer Engineering and Applications [J],2021

3. Study on Multi-UAV Trajectory Planning Strategy Based on Deep Reinforcement Learning [M];zechao;Beijing University of Posts and Telecommunications,2021

4. End-to-end UAV obstacle avoidance decision based on deep reinforcement learning

5. Q-learning

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