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Personalised human-robot co-adaptation in instructional settings using reinforcement learning
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. (Social Robotics)ORCID iD: 0000-0003-3324-4418
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. (Social Robotics)
2017 (English)Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
2017.
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:uu:diva-335324OAI: oai:DiVA.org:uu-335324DiVA, id: diva2:1162389
Conference
IVA Workshop on Persuasive Embodied Agents for Behavior Change: PEACH 2017, August 27, Stockholm, Sweden
Available from: 2017-12-04 Created: 2017-12-04 Last updated: 2018-01-13Bibliographically approved

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fulltext(175 kB)97 downloads
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Gao, Alex YuanCastellano, Ginevra

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association
  • 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