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A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromob...

A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromob...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2986682598

A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services

About this item

Full title

A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-09

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

As Machine Learning grows in popularity across various fields, equity has become a key focus for the AI community. However fairness-oriented approaches are still underexplored in smart mobility. Addressing this gap, our study investigates the balance between performance optimization and algorithmic fairness in shared micromobility services providin...

Alternative Titles

Full title

A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2986682598

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2986682598

Other Identifiers

E-ISSN

2331-8422

How to access this item