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An in-depth analysis of discretization methods for communication learning using backpropagation with multi-agent reinforcement learning.

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Title: An in-depth analysis of discretization methods for communication learning using backpropagation with multi-agent reinforcement learning.
Authors: Vanneste, Astrid1, astrid.vanneste@uantwerp.be, Vanneste, Simon1, Simon.Vanneste@uantwerpen.be, De Schepper, Tom2, tom.deschepper@uantwerp.be, Mercelis, Siegfried1, siegfried.mercelis@uantwerp.be, Hellinckx, Peter3, peter.hellinckx@uantwerp.be, Mets, Kevin1, kevin.mets@uantwerp.be
Source: Neural Computing & Applications; May2026, Vol. 38 Issue 10, p1-23, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194762281
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: An in-depth analysis of discretization methods for communication learning using backpropagation with multi-agent reinforcement learning.
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  Data: <searchLink fieldCode="AU" term="%22Vanneste%2C+Astrid%22">Vanneste, Astrid</searchLink><relatesTo>1</relatesTo>, <i>astrid.vanneste@uantwerp.be</i><br /><searchLink fieldCode="AU" term="%22Vanneste%2C+Simon%22">Vanneste, Simon</searchLink><relatesTo>1</relatesTo>, <i>Simon.Vanneste@uantwerpen.be</i><br /><searchLink fieldCode="AU" term="%22De+Schepper%2C+Tom%22">De Schepper, Tom</searchLink><relatesTo>2</relatesTo>, <i>tom.deschepper@uantwerp.be</i><br /><searchLink fieldCode="AU" term="%22Mercelis%2C+Siegfried%22">Mercelis, Siegfried</searchLink><relatesTo>1</relatesTo>, <i>siegfried.mercelis@uantwerp.be</i><br /><searchLink fieldCode="AU" term="%22Hellinckx%2C+Peter%22">Hellinckx, Peter</searchLink><relatesTo>3</relatesTo>, <i>peter.hellinckx@uantwerp.be</i><br /><searchLink fieldCode="AU" term="%22Mets%2C+Kevin%22">Mets, Kevin</searchLink><relatesTo>1</relatesTo>, <i>kevin.mets@uantwerp.be</i>
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; May2026, Vol. 38 Issue 10, p1-23, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194762281
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00521-025-11782-6
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 1
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      – TitleFull: An in-depth analysis of discretization methods for communication learning using backpropagation with multi-agent reinforcement learning.
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            NameFull: Vanneste, Astrid
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            NameFull: Vanneste, Simon
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            NameFull: Mercelis, Siegfried
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            NameFull: Hellinckx, Peter
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            – D: 25
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 38
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            – TitleFull: Neural Computing & Applications
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