Show me how to win: A robot that uses dialog management to learn from demonstrations

Maryam Zare, Ali Ayub, Alan R. Wagner, Rebecca J. Passonneau

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We present an approach for robot learning from demonstration and communication applied to simple board games like Connect Four. In such games, a visual representation of a winning condition on the board can be converted to an extensive form representation that can then support computation of a winning strategy. We present a robot that can learn simple games from responses to visual questions based on synthesized images, or to verbal questions. We illustrate how reliance on both modalities leads to more efficient learning.

Original languageEnglish (US)
Title of host publicationProceedings of the 14th International Conference on the Foundations of Digital Games, FDG 2019
EditorsFoaad Khosmood, Johanna Pirker, Thomas Apperley, Sebastian Deterding
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450372176
DOIs
StatePublished - Aug 26 2019
Event14th International Conference on the Foundations of Digital Games, FDG 2019 - San Luis Obispo, United States
Duration: Aug 26 2019Aug 30 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference14th International Conference on the Foundations of Digital Games, FDG 2019
CountryUnited States
CitySan Luis Obispo
Period8/26/198/30/19

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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