Paper Title
Integration Reinforcement Learning With Edge Intelligence

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