Integrated Dynamic Control of Process and Cost in Complicated R&D Projects: A Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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Integrated Dynamic Control of Process and Cost in Complicated R&D Projects: A Reinforcement Learning Approach

Published:2023-09-22 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS)
language:
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Author:

Zhang Yichi¹,Chen Su¹,Tu Bing²,Yan Pengyu¹

Affiliation:

1. School of Economics and Management, University of Electronic Science and Technology of China,Chengdu,China

2. Chengdu Aircraft Design and Research Institute,Chengdu,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10294323/10294356/10294493.pdf?arnumber=10294493

Reference13 articles.

1. Implementation matters in deep policy gradients: A case study on ppo and trpo;engstrom;ArXiv Preprint,2020

2. Proximal policy optimization algorithms;schulman;ArXiv Preprint,2017

3. Stability and accuracy of deterministic project duration forecasting methods in earned value management;barrientos-orellana;Engineering Construction and Architectural Management,2022

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