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Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics

Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3e4bfc74ee004d0eb36fcf6ee4fcd72d

Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics

About this item

Full title

Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics

Publisher

Basel: MDPI AG

Journal title

Mathematics (Basel), 2020-10, Vol.8 (10), p.1640

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The popularity of deep reinforcement learning (DRL) applications in economics has increased exponentially. DRL, through a wide range of capabilities from reinforcement learning (RL) to deep learning (DL), offers vast opportunities for handling sophisticated dynamic economics systems. DRL is characterized by scalability with the potential to be appl...

Alternative Titles

Full title

Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3e4bfc74ee004d0eb36fcf6ee4fcd72d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3e4bfc74ee004d0eb36fcf6ee4fcd72d

Other Identifiers

ISSN

2227-7390

E-ISSN

2227-7390

DOI

10.3390/math8101640

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