Multi-Robot Path Planning for Mobile Sensing through Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Multi-Robot Path Planning for Mobile Sensing through Deep Reinforcement Learning

Published:2021-05-10 Issue: Volume: Page:
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Container-title:IEEE INFOCOM 2021 - IEEE Conference on Computer Communications
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Author:

Wei Yongyong,Zheng Rong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9488422/9488423/09488669.pdf?arnumber=9488669

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

1. Dynamic Environment-driven Autonomous Drone Path Planning via Deep Reinforcement Learning;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Multi-agent Gradient-Based Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning;International Journal of Computational Intelligence Systems;2024-06-24

3. Informative and Communication-Efficient Multi-Agent Path Planning for Pollution Plume Monitoring;2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM);2024-06-04

4. Opti-DeepRoute: A Topology-Adaptive Deep Reinforcement Learning Based Service Provisioning Framework for Elastic Optical Network;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2024-05-20

5. BiGuide: A Bi-level Data Acquisition Guidance for Object Detection on Mobile Devices;2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN);2024-05-13

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