Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response

DOI10.1016/j.ejor.2020.09.018zbMath1487.90661OpenAlexW3087576197MaRDI QIDQ2029978

Hyun-Rok Lee, Taesik Lee

Publication date: 4 June 2021

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2020.09.018

zbMATH Keywords

artificial intelligenceimitation learningOR in disaster reliefmulti-agent reinforcement learningselective patient admission

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Stochastic scheduling theory in operations research (90B36) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Uses Software

• Adam

Cites Work

• Unnamed Item
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