RDAM: A Reinforcement Learning Based Dynamic Attribute Matrix Representation for Virtual Network Embedding

Research output: Journal article publication › Journal article › Academic research › peer-review

Original language	English
Pages (from-to)	901-914
Journal	IEEE Transactions on Emerging Topics in Computing
Volume	9
Issue number	2
Publication status	Published - Apr 2021

Cite this

@article{58cb8aadc4f8472da516d657c83f6983,

title = "RDAM: A Reinforcement Learning Based Dynamic Attribute Matrix Representation for Virtual Network Embedding",

author = "Haipeng Yao and Bo Zhang and Peiying Zhang and Sheng Wu and Chunxiao Jiang and Song Guo",

year = "2021",

month = apr,

language = "English",

volume = "9",

pages = "901--914",

journal = "IEEE Transactions on Emerging Topics in Computing",

issn = "2168-6750",

publisher = "IEEE Computer Society",

number = "2",

}

TY - JOUR

T1 - RDAM: A Reinforcement Learning Based Dynamic Attribute Matrix Representation for Virtual Network Embedding

AU - Yao, Haipeng

AU - Zhang, Bo

AU - Zhang, Peiying

AU - Wu, Sheng

AU - Jiang, Chunxiao

AU - Guo, Song

PY - 2021/4

Y1 - 2021/4

M3 - Journal article

SN - 2168-6750

VL - 9

SP - 901

EP - 914

JO - IEEE Transactions on Emerging Topics in Computing

JF - IEEE Transactions on Emerging Topics in Computing

IS - 2

ER -