Case Study- Machine Learning Based on Scenario Analysis

Machine learning now-a-days becoming too obligatory, so that we use it in wide range of applications like predicting next words in keyboard to space related computing. In reinforcement machine learning which depends only on the rewards it gained previously, handle only interactive situations and never knew about the factors that influence in gaining rewards. The proposed deep learning system handles both interactive and non-interactive situations. In this paper, the main goal is to make the machine to learn whose factors in environment are affecting the reward, so to make this possible deep learning system is used. Here machine learns about the factors that affects the reward and machine can act on that factors to get best reward and even the knowledge which has gained in this system can be used with different applications. A car tuning machine is developed by using this deep learning system which is able to tune the car based up on selected track so it can get maximum performance. The system is implemented in python, a simulator is designed to simulate the environment of different tracks and which can be used to race by tuning the car.