MultiSTOP: Solving Functional Equations with Reinforcement Learning

arXiv:2404.14909v1 Announce Type: new
Abstract: We develop MultiSTOP, a Reinforcement Learning framework for solving functional equations in physics. This new methodology produces actual numerical solutions instead of bounds on them. We extend the original BootSTOP algorithm by adding multiple constraints derived from domain-specific knowledge, even in integral form, to improve the accuracy of the solution. We investigate a particular equation in a one-dimensional Conformal Field Theory.

abstract accuracy algorithm arxiv constraints cs.lg domain form framework functional hep-th integral knowledge methodology multiple numerical physics reinforcement reinforcement learning solutions them type