Dynamic Edge AI Service Management and Adaptation Via Off-Policy Meta-Reinforcement Learning and Digital Twin
Author:
Affiliation:
1. University of Oulu,Faculty of Information Technology and Electrical Engineering,Oulu,Finland,90570
2. Zhejiang Lab,Hangzhou,China,311121
Funder
European Union
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622765.pdf?arnumber=10622765
Reference15 articles.
1. UAV-Enabled Mobile-Edge Computing for AI Applications: Joint Model Decision, Resource Allocation, and Trajectory Optimization
2. Joint Online Optimization of Data Sampling Rate and Preprocessing Mode for Edge–Cloud Collaboration-Enabled Industrial IoT
3. DMRO: A Deep Meta Reinforcement Learning-Based Task Offloading Framework for Edge-Cloud Computing
4. Meta-Reinforcement Learning Based Resource Allocation for Dynamic V2X Communications
5. NestDNN
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