We are learning Machine Learning, We have found that it is very hard. We are tring to make a Q-Learning which would give the program a benifit for completeing a task like going around a loop in a car and getting a benifit by going aroud a certain distance. A GitHub page is HERE. For those of you who have no clue what machine learning is. From Wikipedia "Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to carry out tasks without explicit instructions, such as by using pattern recognition and inference. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as 'training data', in order to make predictions or decisions without being explicitly programmed to do so Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks,". The difference bettween Artifical Intelegence(AI) and Machine Learning is that AI is made to mimic a humans activity such as learning to drive a car around a course, but Machine Learning looks for the patterns in a dataset to help predict what another value in the dataset might be.