Deep reinforcement learning in production systems: a systematic literature review
Deep reinforcement learning in production systems: a systematic literature review
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Publisher
London: Taylor & Francis
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Language
English
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Publisher
London: Taylor & Francis
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Scope and Contents
Contents
Shortening product development cycles and fully customisable products pose major challenges for production systems. These not only have to cope with an increased product diversity but also enable high throughputs and provide a high adaptability and robustness to process variations and unforeseen incidents. To overcome these challenges, deep Reinfor...
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Full title
Deep reinforcement learning in production systems: a systematic literature review
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TN_cdi_crossref_primary_10_1080_00207543_2021_1973138
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1080_00207543_2021_1973138
Other Identifiers
ISSN
0020-7543
E-ISSN
1366-588X
DOI
10.1080/00207543.2021.1973138
