Deep Reinforcement Learning Based Dynamic Routing Optimization for Delay-Sensitive Applications
Author:
Affiliation:
1. School of Artificial Intelligence, Beijing University of Posts and Telecommunications,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437439.pdf?arnumber=10437439
Reference16 articles.
1. Leveraging Deep Reinforcement Learning for Traffic Engineering: A Survey
2. Joint Routing and Scheduling Optimization in Time-Sensitive Networks Using Graph-Convolutional-Network-Based Deep Reinforcement Learning
3. DRSIR: A Deep Reinforcement Learning Approach for Routing in Software-Defined Networking
4. Enabling Scalable Routing in Software-Defined Networks With Deep Reinforcement Learning on Critical Nodes
5. DeepQoSR: A Deep Reinforcement Learning based QoS-Aware Routing for Software Defined Data Center Networks
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1. Learning Based Routing Link Scheduling in Heterogeneous Wireless loT Networks;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09
2. Service-Driven Dynamic Qos On-Demand Routing Algorithm;2024
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