Reinforcement learning based routing in all-optical networks

被引：6
|
作者：
Pointurier, Yvan [1 ]
Heidari, Fariba [1 ]
机构：
[1] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ, Canada
来源：
2007 FOURTH INTERNATIONAL CONFERENCE ON BROADBAND COMMUNICATIONS, NETWORKS & SYSTEMS, VOLS 1 AND 2 | 2007年
关键词：
D O I：
10.1109/BROADNETS.2007.4550533
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We present and evaluate a reinforcement learning-based RWA algorithm for all-optical networks subject to physical impairments. The technique is suitable for decentralized networks and is compared with other techniques with similar computational complexity.
引用
收藏
页码：919 / 921
页数：3
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