IADRL: Imitation Augmented Deep Reinforcement Learning Enabled UGV-UAV Coalition for Tasking in Complex Environments-Reference-Cited by-同舟云学术

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IADRL: Imitation Augmented Deep Reinforcement Learning Enabled UGV-UAV Coalition for Tasking in Complex Environments

Published:2020 Issue: Volume:8 Page:102335-102347
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhang Jian,Yu Zhitao,Mao Shiwen^ORCID,Periaswamy Senthilkumar C. G.,Patton Justin,Xia Xue

Funder

NSF

RFID Laboratory and the Wireless Engineering Research and Education Center (WEREC), Auburn University, Auburn, AL, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09099309.pdf?arnumber=9099309

Cited by 16 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

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3. Air-Ground Spatial Crowdsourcing with UAV Carriers by Geometric Graph Convolutional Multi-Agent Deep Reinforcement Learning;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

4. Intelligent air defense task assignment based on hierarchical reinforcement learning;Frontiers in Neurorobotics;2022-12-01

5. A Review of Collaborative Air-Ground Robots Research;Journal of Intelligent & Robotic Systems;2022-10-29

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