Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC)
  • OSA Technical Digest (Optica Publishing Group, 2020),
  • paper M4A.206
  • https://doi.org/10.1364/ACPC.2020.M4A.206

Deep Reinforcement Learning Enabled Network Routing Optimization Approach with an Enhanced DDPG Algorithm

Not Accessible

Your library or personal account may give you access

Abstract

This paper proposes an enhanced DDPG algorithm solving network routing problem to minimize the average network delay. Simulation results shows that the algorithm has good convergence speed improvement in routing optimization.

© 2020 The Author(s)

PDF Article
More Like This
Reconfigurable Network Topology Based on Deep Reinforcement Learning in Software-Defined Data-Center Networks

Wen Yang, Bingli Guo, Yu Shang, and Shanguo Huang
M4A.196 Asia Communications and Photonics Conference (ACP) 2020

Routing Based On Deep Reinforcement Learning In Optical Transport Networks

José Suárez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, and Albert Cabellos-Aparicio
M2A.6 Optical Fiber Communication Conference (OFC) 2019

Multi-Objective Routing and Resource Allocation Based on Reinforcement Learning in Optical Transport Networks

Xin Li, Yongli Zhao, Yajie Li, Sabidur Rahman, Feng Wang, Xinghua Li, and Jie Zhang
M4A.205 Asia Communications and Photonics Conference (ACP) 2020

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved