Retraction Note: Deep reinforcement learning for comprehensive route optimization in elastic optical networks using generative strategies

被引：0
|
作者：
P. N. Renjith [1 ]
G. Sujatha [2 ]
M. Vinoth [3 ]
G. D. Vignesh [4 ]
M. Ramkumar Prabhu [5 ]
B. Mouleswararao [6 ]
机构：
[1] Vellore Institute of Technology,School of Computer Science and Engineering
[2] Kommuri Pratap Reddy Institute of Technology,Department of Electronics and Communication Engineering
[3] K. Ramakrishnan College of Engineering,Department of ECE
[4] St Joseph’s College of Engineering,Department of ECE, Saveetha School of Engineering
[5] Saveetha Institute of Medical and Technical Sciences,Department of Computer Science and Engineering
[6] Koneru Lakshmaiah Education Foundation Vaddeswaram,undefined
来源：
Optical and Quantum Electronics | / 56卷 / 10期
关键词：
D O I：
10.1007/s11082-024-07653-4
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Evaluation of Deep Reinforcement Learning for Restoration in Optical Networks
    Hernandez-Chulde, C.
    Casellas, R.
    Martinez, R.
    Vilalta, R.
    Munoz, R.
    2022 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC), 2022,
  • [22] Routing in optical transport networks with deep reinforcement learning
    Suarez-Varela, Jose
    Mestres, Albert
    Yu, Junlin
    Kuang, Li
    Feng, Haoyu
    Cabellos-Aparicio, Albert
    Barlet-Ros, Pere
    JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, 2019, 11 (11) : 547 - 558
  • [23] Exploiting Multi-Task Learning to Achieve Effective Transfer Deep Reinforcement Learning in Elastic Optical Networks
    Chen, Xiaoliang
    Proietti, Roberto
    Liu, Che-Yu
    Zhu, Zuqing
    Ben Yoo, S. J.
    2020 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC), 2020,
  • [24] Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
    Du, Hongyang
    Zhang, Ruichen
    Liu, Yinqiu
    Wang, Jiacheng
    Lin, Yijing
    Li, Zonghang
    Niyato, Dusit
    Kang, Jiawen
    Xiong, Zehui
    Cui, Shuguang
    Ai, Bo
    Zhou, Haibo
    Kim, Dong In
    IEEE Communications Surveys and Tutorials, 2024, 26 (04): : 2611 - 2646
  • [25] Deep-RMSA: A Deep-Reinforcement-Learning Routing, Modulation and Spectrum Assignment Agent for Elastic Optical Networks
    Chen, Xiaoliang
    Guo, Jiannan
    Zhu, Zuqing
    Proietti, Roberto
    Castro, Alberto
    Yoo, S. J. B.
    2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC), 2018,
  • [26] Multilayer restoration in IP-Optical networks by adjustable robust optimization and deep reinforcement learning
    Bekri, Malek
    Reyes, Ronald Romero
    Bauschert, Thomas
    JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, 2024, 16 (07) : 721 - 734
  • [27] Deep Reinforcement Learning for Provisioning Virtualized Network Function in Inter-Datacenter Elastic Optical Networks
    Zhu, Min
    Chen, Qi
    Gu, Jiahua
    Gu, Pingping
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2022, 19 (03): : 3341 - 3351
  • [28] Reconfiguring multicast sessions in elastic optical networks adaptively with graph-aware deep reinforcement learning
    Tian, Xiaojian
    Li, Baojia
    Gu, Rentao
    Zhu, Zuqing
    JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, 2021, 13 (11) : 253 - 265
  • [29] Deep reinforcement learning in radiation therapy planning optimization: A comprehensive review
    Li, Can
    Guo, Yuqi
    Lin, Xinyan
    Feng, Xuezhen
    Xu, Dachuan
    Yang, Ruijie
    PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2024, 125
  • [30] Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models
    Ghadirzadeh, Ali
    Poklukar, Petra
    Arndt, Karol
    Finn, Chelsea
    Kyrki, Ville
    Kragic, Danica
    Björkman, Mårten
    Journal of Machine Learning Research, 2022, 23
12345