Resource constrained deep reinforcement learning

In urban environments, resources have to be constantly matched to the “right” locations where customer demand is present. For instance, ambulances have to be matched to base stations regularly so as to reduce response time for emergency incidents in ERS (Emergency Response Systems); vehicles (cars,...

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Bibliographic Details
Main Authors: BHATIA, Abhinav, VARAKANTHAM, Pradeep, KUMAR, Akshat
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access:https://ink.library.smu.edu.sg/sis_research/5059
https://ink.library.smu.edu.sg/context/sis_research/article/6062/viewcontent/3528_Article_Text_6577_1_10_20190619.pdf
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Institution: Singapore Management University
Language: English