建筑问题优化求解的深度学习方法研究

2021 International Conference on Computational Science and Computational Intelligence (CSCI) Pub Date : 2021-12-01 DOI:10.1109/CSCI54926.2021.00100

Phillip Roshon, Feng-Jen Yang

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引用次数: 0

摘要

在本研究中，我们专注于一个问题域，即构造问题，用于强化学习系统的优化。我们将我们的方法与自动化定理证明领域的现有研究和其他相关技术联系起来，以优化该领域的解决方案。我们希望这项研究能够激发人们对采用和提高现有生产系统效率的更多兴趣。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Study on Deep Learning Approach to Optimize Solving Construction Problems

In this study, we focus on a problem domain, construction problems, for reinforcement learning systems to optimize. We relate our approach to existing research in the field of automated theorem proving and other related techniques to optimize the solutions in this domain. We expect this study can inspire more interest in the adoption of and improve the efficiency of existing production systems.

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来源期刊

2021 International Conference on Computational Science and Computational Intelligence (CSCI)

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