Reply to: Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture
Disordered Systems and Neural Networks
2023-05-15 v1 Computational Physics
Abstract
We wish to thank Stefan Boettcher for prompting us to further check and highlight the accuracy and scaling of our results. Here we provide a comprehensive response to the Comment written by him. We argue that the Comment did not account for the fairness of the comparison between different methods in searching for the spin-glass ground states. We demonstrate that, with a reasonably larger number of initial spin configurations, our results agree with the asymptotic scaling form assumed by finite-size corrections.
Keywords
Cite
@article{arxiv.2305.07562,
title = {Reply to: Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture},
author = {Changjun Fan and Mutian Shen and Zohar Nussinov and Zhong Liu and Yizhou Sun and Yang-Yu Liu},
journal= {arXiv preprint arXiv:2305.07562},
year = {2023}
}
Comments
5 pages, 1 figure