Optimal Control of a Gold Cyanide Leaching Process Based on Reinforcement Learning-Reference-Cited by-同舟云学术

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Optimal Control of a Gold Cyanide Leaching Process Based on Reinforcement Learning

Published:2022-08-15 Issue: Volume: Page:
ISSN:
Container-title:2022 34th Chinese Control and Decision Conference (CCDC)
language:
Short-container-title:

Author:

Zheng Jun¹,Jia Runda¹,Chu Fei²

Affiliation:

1. Northeastern University,College of Information Science and Engineering,Shenyang,China,110819

2. China University of Mining and Technology,Engineering Research Center of Intelligent Control for Underground Space of the Ministry of Education, School of Information and Control Engineering,Xuzhou,China,221116

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10032843/10032844/10034081.pdf?arnumber=10034081

Reference12 articles.

1. PILCO: A Model-Based and Data-Efficient Approach to Policy Search;deisenroth;Proc Int’l Conf Ma-chine Learning,2011

2. A Data-Driven Iterative Optimization Compensation Method Based on PJIT-PLS for Gold Cyanidation Leaching Process

3. Gaussian Processes for Machine Learning;rasmussen,2006

4. Gaussian Processes for Data-Efficient Learning in Robotics and Control

5. Real time optimization based on a serial hybrid model for gold cyanidation leaching process

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