Deep reinforcement learning for complex evaluation of one-loop diagrams in quantum field theory

Andreas Windisch, Thomas Gallien, Christopher Schwarzlmueller

In this paper we present a novel technique based on deep reinforcement learning that allows for numerical analytic continuation of integrals that are often encountered in one-loop…