Deep Reinforcement Learning algorithms for Low Latency Edge Computing Systems
Author:
Affiliation:
1. SRM Institute of Science and Technology Easwari Engineering College,Department of Information Technology,Chennai,India
2. SRM Institute of Science and Technology, Kattankulathur,Department of Data Science & Business Systems,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10134757/10134565/10134928.pdf?arnumber=10134928
Reference17 articles.
1. Deep Learning Techniques on Text Classification Using Natural Language Processing (NLP) In Social Healthcare Network: A Comprehensive Survey
2. Reinforcement Learning: A Survey
3. Offloading Methodologies for Energy consumption in Mobile Edge Computing
4. Learning based Latency Minimization Techniques in Mobile Edge Computing (MEC) systems: A Comprehensive Survey
5. Algorithms for reinforcement learning. Synthesis lectures on artificial intelligence and machine learning;szepesvari,2010
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1. A RIS-Assisted Multiuser MIMO Communication Method Based on Deep Reinforcement Learning;2023 7th International Conference on Communication and Information Systems (ICCIS);2023-10-20
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