Adaptive control of resource flow to optimize construction work and cash flow via online deep reinforcement learning-Reference-Cited by-同舟云学术

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Adaptive control of resource flow to optimize construction work and cash flow via online deep reinforcement learning

Published:2023-06 Issue: Volume:150 Page:104817
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Jiang Can,Li Xin,Lin Jia-Rui,Liu Ming,Ma Zhiliang

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference70 articles.

1. A construction workflow model for analyzing the impact of in-project variability;Garcia-Lopez,2016

2. Cash flow modeling for construction projects;Zayed;Eng. Constr. Archit. Manag.,2014

3. Causes of delays on construction projects: a comprehensive list;Durdyev;Int. J. Manag. Proj. Bus.,2020

4. A review of construction waste cause factors;Nagapan,2011

5. Study on cost overruns in construction projects – a review;Vaardini;Int. J. Appl. Eng. Res.,2016

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recent Research Progress in Intelligent Construction: A Comparison between China and Developed Countries;Buildings;2023-05-19

2. Data-Driven Quantitative Performance Evaluation of Construction Supervisors;Buildings;2023-05-11

3. A Stackelberg game model for construction waste transportation;Advanced Engineering Informatics;2023-04

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