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Dual Control of Exploration and Exploitation for Auto-Optimisation Control with Active Learning

Dual Control of Exploration and Exploitation for Auto-Optimisation Control with Active Learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2771189109

Dual Control of Exploration and Exploitation for Auto-Optimisation Control with Active Learning

About this item

Full title

Dual Control of Exploration and Exploitation for Auto-Optimisation Control with Active Learning

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-03

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

The quest for optimal operation in environments with unknowns and uncertainties is highly desirable but critically challenging across numerous fields. This paper develops a dual control framework for exploration and exploitation (DCEE) to solve an auto-optimisation problem in such complex settings. In general, there is a fundamental conflict betwee...

Alternative Titles

Full title

Dual Control of Exploration and Exploitation for Auto-Optimisation Control with Active Learning

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2771189109

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2771189109

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2301.11984

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