Q-Learning based Intelligent and Interactive Healthcare System

With the advent of the COVID-19 pandemic, the health care system has suffered a tremendous setback, especially in developing countries. Q Learning is a leading and widely used Reinforcement Learning scheme. Q-Learning can be applied to a variety of real-time applications. This paper proposes a health care system based on the Q learning algorithm and its implementation for a set of targeted nodes. The proposed system consists of 4 phases, front-end system, RRH, BBU pool, and computing. Each phase consists of different network components that are considered nodes. We have different rewards for nodes and pathways. The AI agent will continue to change its approach for future actions.