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

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