  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.
