A new paper from researchers at the University of Cambridge introduces a novel explainable reinforcement learning algorithm for financial applications. The algorithm uses a combination of feature selection and a deep learning model to make predictions and provide insights into the decision-making process. The algorithm is designed to be able to explain its decisions to human users, which is an important step towards increasing trust in the use of AI in finance.
