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OPTIMIZING STAND MINGLING DEGREE IN DYNAMIC NEIGHBORHOODS USING A NEGOTIATION-BASED MULTIAGENT REINFORCEMENT LEARNING APPROACH.

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Title: OPTIMIZING STAND MINGLING DEGREE IN DYNAMIC NEIGHBORHOODS USING A NEGOTIATION-BASED MULTIAGENT REINFORCEMENT LEARNING APPROACH.
Authors: LIU, X.1, QING, D. S.2,3 673390302@qq.com, LI, X. H.1 lixihui@ccsut.edu.cn, DENG, Q. L.2 1006308937@qq.com, WU, L.2, ZHOU, R. M.4, LI, H. M.2
Source: Applied Ecology & Environmental Research. 2026, Vol. 24 Issue 3, p4795-4818. 24p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 194538538
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: OPTIMIZING STAND MINGLING DEGREE IN DYNAMIC NEIGHBORHOODS USING A NEGOTIATION-BASED MULTIAGENT REINFORCEMENT LEARNING APPROACH.
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  Data: <searchLink fieldCode="JN" term="%22Applied+Ecology+%26+Environmental+Research%22">Applied Ecology & Environmental Research</searchLink>. 2026, Vol. 24 Issue 3, p4795-4818. 24p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=194538538
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      – TitleFull: OPTIMIZING STAND MINGLING DEGREE IN DYNAMIC NEIGHBORHOODS USING A NEGOTIATION-BASED MULTIAGENT REINFORCEMENT LEARNING APPROACH.
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              Text: 2026
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