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Temporal distillation: compressing a policy in space and time.

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Title: Temporal distillation: compressing a policy in space and time.
Authors: Avé, Thomas1, thomas.ave@uantwerpen.be, Hutsebaut-Buysse, Matthias1, matthias.hutsebaut-buysse@uantwerpen.be, Mets, Kevin2, kevin.mets@uantwerpen.be
Source: Machine Learning; Nov2025, Vol. 114 Issue 11, p1-27, 27p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188692249
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Temporal distillation: compressing a policy in space and time.
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  Data: <searchLink fieldCode="JN" term="%22Machine+Learning%22">Machine Learning</searchLink>; Nov2025, Vol. 114 Issue 11, p1-27, 27p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188692249
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10994-025-06889-9
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      – Code: eng
        Text: English
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        PageCount: 27
        StartPage: 1
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      – TitleFull: Temporal distillation: compressing a policy in space and time.
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            NameFull: Avé, Thomas
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            NameFull: Hutsebaut-Buysse, Matthias
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            NameFull: Mets, Kevin
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            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
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              Value: 114
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              Value: 11
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            – TitleFull: Machine Learning
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