Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning
Author:
Affiliation:
1. Nokia Bell Labs,Stuttgart,Germany
2. University of Nebraska Lincoln,United States
3. Technical University of Munich,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10000063/10000593/10000763.pdf?arnumber=10000763
Reference19 articles.
1. Transfer reinforcement learning aided distributed network slicing resource optimization in industrial IoT;mai;IEEE Trans-actions on Industrial Informatics,2021
2. Transfer Learning-Based Accelerated Deep Reinforcement Learning for 5G RAN Slicing
3. Connections Between Spectral Properties of Asymptotic Mappings and Solutions to Wireless Network Problems
4. Inter-Cell Slicing Resource Partitioning via Coordinated Multi-Agent Deep Reinforcement Learning
5. Transfer learning in deep reinforcement learning: A survey;zhu;CoRR,2020
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3. Leveraging Transfer Learning for Production-Aware Slicing in Industrial Networks;2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring);2023-06
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