Digitala Vetenskapliga Arkivet

Change search
CiteExportLink to record
Permanent link

Direct link
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
  • text
  • asciidoc
  • rtf
The Second Annual Conference on Learning for Dynamics and Control: Editorial
Microsoft Research.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0003-2965-2953
Massachusetts Institute of Technology.
Number of Authors: 572020 (English)In: Proceedings of Machine Learning Research, ML Research Press , 2020, Vol. 120Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
ML Research Press , 2020. Vol. 120
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-342538Scopus ID: 2-s2.0-85161212339OAI: oai:DiVA.org:kth-342538DiVA, id: diva2:1830982
Conference
2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Berkeley, 10-11 June 2020
Note

QC 20240124

Available from: 2024-01-24 Created: 2024-01-24 Last updated: 2024-01-24Bibliographically approved

Open Access in DiVA

No full text in DiVA

Scopus

Search in DiVA

By author/editor
Kragic, Danica
By organisation
Robotics, Perception and Learning, RPL
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 16 hits
CiteExportLink to record
Permanent link

Direct link
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
  • text
  • asciidoc
  • rtf