On the Use of Quantum Reinforcement Learning in Energy-Efficiency Scenarios
On the Use of Quantum Reinforcement Learning in Energy-Efficiency Scenarios
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Basel: MDPI AG
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English
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Basel: MDPI AG
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In the last few years, deep reinforcement learning has been proposed as a method to perform online learning in energy-efficiency scenarios such as HVAC control, electric car energy management, or building energy management, just to mention a few. On the other hand, quantum machine learning was born during the last decade to extend classic machine l...
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On the Use of Quantum Reinforcement Learning in Energy-Efficiency Scenarios
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TN_cdi_doaj_primary_oai_doaj_org_article_401f24a3c24c4959b1426f1743b8a0a7
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_401f24a3c24c4959b1426f1743b8a0a7
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ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en15166034