Human Resource Scheduling Control Method Based on Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Human Resource Scheduling Control Method Based on Deep Reinforcement Learning

Published:2022 Issue: Volume: Page:368-382
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Zhang Shaoping,Sun Bo

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-18123-8_28

Reference14 articles.

1. Otoo, F.: Human resource management (HRM) practices and organizational performance. Empl. Relat. 41(5), 949–970 (2019)

2. Chen, J., Tong, S., Xie, H., et al.: Model and algorithm for human resource-constrained R&D program scheduling optimization. Discrete Dyn. Nat. Soc. 2019, 1–13 (2019)

3. Hwang, K.J., Kang, P.K., Dong, J.J.: The Association between human resources investments in the internal accounting control system and unfaithful disclosure designations. Korean J. Manag. Account. Res. 20(2), 55–78 (2020)

4. Imran, M.: Influence of human resources, information technology, internal control system and regional financial supervision on value of financial reporting information. Al-Kharaj J. Islamic Econ. Bus. 2(1), 49–65 (2020)

5. Ali, M.C., Islam, K., Chung, S., et al.: A study of green human resources management (GHRM) and green creativity for human resources professionals. Int. J. Bus. Manag. Future 4(2), 57–67 (2020)

Cited by 1 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. Hybrid Algorithm for Resource Aware Predictive Scheduling: A case-study to Human Activity Recognition;2022 International Conference on Knowledge Engineering and Communication Systems (ICKES);2022-12-28

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