Deep Reinforcement Learning-Based Joint Scheduling and Routing for Time-Sensitive Networks
Author:
Affiliation:
1. Universitat Politécnica de Catalunya (UPC),Dept. of Network Engineering,Castelldefels,Barcelona,Spain
Funder
Ministry of Economic Affairs
Ministerio de Ciencia e Innovación
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10647220/10647120/10647521.pdf?arnumber=10647521
Reference7 articles.
1. Exploring Practical Limitations of Joint Routing and Scheduling for TSN with ILP
2. Joint Routing and Scheduling Optimization in Time-Sensitive Networks Using Graph-Convolutional-Network-Based Deep Reinforcement Learning
3. Deep Reinforcement Learning based Deterministic Routing and Scheduling for Mixed-Criticality Flows
4. A Microservices-Based Control Plane for Time-Sensitive Networking
5. Asynchronous methods for deep reinforcement learning;Mnih
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