More formally, every machine learning algorithm depends on 3 things which need to be able to be programmed. First, there needs to exist an experience set, sometimes called a training set. This is data that the algorithm will “learn” from. Next, there needs to be some task, some action that...

This paper analyzes the use of Reinforcement Learning in trading Agricultural ETFs. The first section of the paper examines the performance of using a naive trading strategy to be used in a later comparison with Reinforcement Learning strategies. Here, returns were very volatile, with agents...