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Efficient algorithms for autonomous agents facing uncertainty
ORCID iD: 0000-0003-3329-436X
2019 (English)Doctoral thesis, monograph (Other academic)
Place, publisher, year, edition, pages
Melbourne: Minerva Access , 2019.
National Category
Control Engineering
Research subject
Applied and Computational Mathematics, Optimization and Systems Theory
Identifiers
URN: urn:nbn:se:kth:diva-318625OAI: oai:DiVA.org:kth-318625DiVA, id: diva2:1697856
Public defence
, Melbourne
Supervisors
Note

QC 20220926

Available from: 2022-09-26 Created: 2022-09-22 Last updated: 2022-09-26Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

http://hdl.handle.net/11343/219825

Authority records

Selvaratnam, Daniel

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Selvaratnam, Daniel
Control Engineering

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Total: 71 hits
CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
  • rtf
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