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GreenTE.ai: Power-Aware Traffic Engineering via Deep ...
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由 T Pan 著作2021被引用 1 次 — We develop GreenTE.ai, a closed-loop control/training system to automate power-aware traffic engineering.
GreenTE.ai: Power-Aware Traffic Engineering via Deep ...
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2024年10月27日 — Based on reinforcement learning the algorithm learns the optimal routing policy for incoming connection requests while minimizing the blocking ...
Power-Aware Traffic Engineering via Deep Reinforcement ...
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Deep Reinforcement Learning (DRL) provides us with a chance to design a model-free TE scheme through machine learning. However, existing DRL-based TE solutions ...
[PDF] GreenTE: Power-aware traffic engineering
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This paper proposes an intra-domain traffic engineering mechanism, GreenTE, which maximizes the number of links that can be put into sleep under given ...
缺少字詞: Deep Reinforcement Learning.
Zizheng Bian
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2024年7月17日 — GreenTE.ai: Power-Aware Traffic Engineering via Deep Reinforcement Learning. IWQoS 2021: 1-6; 2020. [c3]. view. electronic edition via DOI ...
Enge Song
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2024年10月28日 — , Tao Huang: GreenTE.ai: Power-Aware Traffic Engineering via Deep Reinforcement Learning. IWQoS 2021: 1-6. [c8]. view. electronic edition via ...
A deep reinforcement learning-based cooperative ...
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由 TA Haddad 著作2022被引用 37 次 — This paper proposes a new DRL-based cooperative approach for controlling multiple intersections. The problem is modelled as a Multi-Agent Reinforcement ...
Enge Song - Enge's Personal Homepage
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GreenTE.ai: Power-Aware Traffic Engineering via Deep Reinforcement Learning. Tian Pan, Xiaoyu Peng, Qianqian Shi, Zizheng Bian, Xingchen Lin, Enge Song ...
Deep reinforcement learning based energy management ...
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由 H He 著作2024被引用 31 次 — This paper systematically surveys DRL-based EMSs. First, DRL algorithms and useful DRL extensions are briefly reviewed.
Xingchen Lin
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GreenTE.ai: Power-Aware Traffic Engineering via Deep Reinforcement Learning. Tian Pan. ,. Xiaoyu Peng. ,. Qianqian Shi. ,. Zizheng Bian. ,. Xingchen Lin. ,.