Benchmarking Off-Policy Deep Reinforcement Learning Algorithms for UAV Path Planning-Reference-Cited by-同舟云学术

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Benchmarking Off-Policy Deep Reinforcement Learning Algorithms for UAV Path Planning

Published:2024-06-04 Issue: Volume: Page:317-323
ISSN:
Container-title:2024 International Conference on Unmanned Aircraft Systems (ICUAS)
language:
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Author:

Garg Shaswat¹,Masnavi Houman²,Fidan Baris¹,Janabi-Sharifi Farrokh²,Mantegh Iraj³

Affiliation:

1. University of Waterloo,Dept. of Mechanical and Mechatronics Engineering,Waterloo,Canada

2. Toronto Metropolitan University,Industrial and Mechatronics Engineering,Dept. of Mechanical,Toronto,Canada

3. The Aerospace Research Center, National Research Council of Canada,Montreal,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10556795/10556824/10556862.pdf?arnumber=10556862

Reference22 articles.

1. Smart Search System of Autonomous Flight UAVs for Disaster Rescue

2. Are unmanned aircraft systems (UASs) the future of wildlife monitoring? A review of accomplishments and challenges

3. A compilation of UAV applications for precision agriculture

4. UAV-Based IoT Platform: A Crowd Surveillance Use Case

5. Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics

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