MultiSTOP: Solving Functional Equations with Reinforcement Learning
Machine Learning
2024-04-24 v1 High Energy Physics - Theory
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.
Keywords
Cite
@article{arxiv.2404.14909,
title = {MultiSTOP: Solving Functional Equations with Reinforcement Learning},
author = {Alessandro Trenta and Davide Bacciu and Andrea Cossu and Pietro Ferrero},
journal= {arXiv preprint arXiv:2404.14909},
year = {2024}
}
Comments
ICLR 2024 Workshop on AI4DifferentialEquations In Science