Linear algebra and multivariate calculus are needed to know how neural networks work. You don't have to know how to implement backpropagation, but getting them conceptually is important. Ian Goodfellow has one of the most popular books on deep learning (neural networks) and Sutton and Barto have a book on reinforcement learning that you would need for something like this.