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Bibliographic Details
Main Authors:	Trenta, Alessandro, Bacciu, Davide, Cossu, Andrea, Ferrero, Pietro
Format:	Preprint
Published:	2024
Subjects:	Machine Learning High Energy Physics - Theory
Online Access:	https://arxiv.org/abs/2404.14909
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Table of Contents:

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.