MultiSTOP: Solving Functional Equations with Reinforcement Learning

• URL: http://arxiv.org/abs/2404.14909v1
• Date: Tue, 23 Apr 2024 10:51:31 GMT
• Title: MultiSTOP: Solving Functional Equations with Reinforcement Learning
• Authors: Alessandro Trenta, Davide Bacciu, Andrea Cossu, Pietro Ferrero,
• Abstract summary: 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.
• Score: 56.073581097785016
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

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