View in EDS

State space scalability to enable smart ships with statistical physics and multi-agent-based reinforcement learning.

Saved in:
Bibliographic Details
Title: State space scalability to enable smart ships with statistical physics and multi-agent-based reinforcement learning.
Authors: Manohar, Alexander1, alexmano@umich.edu, Singer, David J.1, djsinger@umich.edu
Source: Computers & Informatics; 2023, Vol. 3 Issue 2, p67-80, 19p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 175003096
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: State space scalability to enable smart ships with statistical physics and multi-agent-based reinforcement learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Manohar%2C+Alexander%22">Manohar, Alexander</searchLink><relatesTo>1</relatesTo>, <i>alexmano@umich.edu</i><br /><searchLink fieldCode="AU" term="%22Singer%2C+David+J%2E%22">Singer, David J.</searchLink><relatesTo>1</relatesTo>, <i>djsinger@umich.edu</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Computers+%26+Informatics%22">Computers & Informatics</searchLink>; 2023, Vol. 3 Issue 2, p67-80, 19p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=175003096
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 67
    Titles:
      – TitleFull: State space scalability to enable smart ships with statistical physics and multi-agent-based reinforcement learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Manohar, Alexander
      – PersonEntity:
          Name:
            NameFull: Singer, David J.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: 2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 27578259
          Numbering:
            – Type: volume
              Value: 3
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Computers & Informatics
              Type: main
ResultId 1