Quality of service optimization algorithm based on deep reinforcement learning in software defined network
Deep reinforcement learning has strong abilities of decision-making and generalization and often applies to the quality of service (QoS) optimization in software defined network (SDN).However, traditional deep reinforcement learning algorithms have problems such as slow convergence and instability.A...
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| Main Authors: | Cenhuishan LIAO, Junyan CHEN, Guanping LIANG, Xiaolan XIE, Xiaoye LU |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2023-03-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2023.00316/ |
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