EcoSearch: A Constant-Delay Best-First Search Algorithm for Program Synthesis
Abstract
Many approaches to program synthesis perform a combinatorial search within a large space of programs to find one that satisfies a given specification. To tame the search space blowup, previous works introduced probabilistic and neural approaches to guide this combinatorial search by inducing heuristic cost functions. Best-first search algorithms ensure to search in the exact order induced by the cost function, significantly reducing the portion of the program space to be explored. We present a new best-first search algorithm called EcoSearch, which is the first constant-delay algorithm for pre-generation cost function: the amount of compute required between outputting two programs is constant, and in particular does not increase over time. This key property yields important speedups: we observe that EcoSearch outperforms its predecessors on two classic domains.
Cite
@article{arxiv.2412.17330,
title = {EcoSearch: A Constant-Delay Best-First Search Algorithm for Program Synthesis},
author = {Théo Matricon and Nathanaël Fijalkow and Guillaume Lagarde},
journal= {arXiv preprint arXiv:2412.17330},
year = {2024}
}
Comments
Extended version of AAAI 2025