Paper Title :Integration Reinforcement Learning With Edge Intelligence
Author :Bhavishya Chaturvedi, Dhairyavalecha, Bhumika Chugh
Article Citation :Bhavishya Chaturvedi ,Dhairyavalecha ,Bhumika Chugh ,
(2023 ) " Integration Reinforcement Learning With Edge Intelligence " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 38-40,
Volume-11,Issue-7
Abstract : High level complexities require decision making to reach a solution that is most favorable of various possible
options. With introduction of artificial intelligence, it is possible for the machine to simulate human-like decision making
and predict possible solution for a similar problem in future. Reinforcement learning is a machine learning method that uses
reward and punishment to train the agent. Edge Intelligence is the combination of edge computing and artificial intelligence
that shifts the computational locations from cloud-based services to devices at the edge of the network.
Keywords - Artificial Intelligence, Deep Learning, Edge Computing, Edge Intelligence, Machine Learning, Reinforcement
Learning
Type : Research paper
Published : Volume-11,Issue-7
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-19982
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Copyright: © Institute of Research and Journals
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Published on 2023-11-09 |
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