DeepMPR: Enhancing Opportunistic Routing in Wireless Networks via Multi-Agent Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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DeepMPR: Enhancing Opportunistic Routing in Wireless Networks via Multi-Agent Deep Reinforcement Learning

Published:2023-10-30 Issue: Volume: Page:
ISSN:
Container-title:MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)
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Author:

Kaviani Saeed¹,Ryu Bo¹,Ahmed Ejaz¹,Kim Deokseong¹,Kim Jae¹,Spiker Carrie¹,Harnden Blake¹

Affiliation:

1. Episys Science Inc,Poway,CA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10356123/10356124/10356325.pdf?arnumber=10356325

Reference22 articles.

1. Opportunistic routing in multi-hop wireless networks

2. Ray: A distributed framework for emerging {AI} applications;Moritz

3. Simplified Multicast Forwarding

4. A connected dominating set based multicast routing protocol in wireless ad hoc networks;Hu;IEEE Transactions on Mobile Computing,2004

5. Optimized link state routing protocol (OLSR);Clausen;RFC 3626,2003

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. A comprehensive survey on Machine Learning techniques in opportunistic networks: Advances, challenges and future directions;Pervasive and Mobile Computing;2024-05

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