Online bipartite matching methodology for anti-epidemic resources allocation: an adaptive time window based on reinforcement learning.

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Bibliographic Details
Title: Online bipartite matching methodology for anti-epidemic resources allocation: an adaptive time window based on reinforcement learning.
Authors: Wu Z; School of Digital Economics and Trade, Guangzhou Huashang College, Guangzhou, China., Pang S; Institute of Finance Engineering/School of Emergency Management, Jinan University, Guangzhou, China., He S; Department of Economics, Guangdong Institute of Public Administration, Guangzhou, China.
Source: Frontiers in public health [Front Public Health] 2026 Jan 08; Vol. 13, pp. 1644499. Date of Electronic Publication: 2026 Jan 08 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2296-2565
DOI:10.3389/fpubh.2025.1644499