• DocumentCode
    2069835
  • Title

    Goal assignment through reinforcement and task embedding

  • Author

    Namkiu, Chan ; Anzai, Yuichiro

  • Author_Institution
    Dept. of Comput. Sci., Keio Univ., Yokohama, Japan
  • fYear
    1996
  • fDate
    11-14 Nov 1996
  • Firstpage
    50
  • Lastpage
    54
  • Abstract
    In this paper we describe the technique of task embedding under the context of symbolic reinforcement learning. In particular, we focus on the issue of goal assignment from novice users to computational learners under a limited form of interaction through symbolic reinforcing cues. Reinforcing cue could be as simple as an indication of good or bad, and is symbolic in nature. It conveys the value judgment of the users, and serves as the only means of interaction for goal assignment in our study
  • Keywords
    learning (artificial intelligence); learning systems; robots; symbol manipulation; trees (mathematics); autonomous robots; goal assignment; preference tree; reinforcement learning; reinforcing cues; symbolic reinforcement; task embedding; Animals; Computer science; Feedback; Human robot interaction; Learning; Organisms; Problem-solving; Robot programming; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robot and Human Communication, 1996., 5th IEEE International Workshop on
  • Conference_Location
    Tsukuba
  • Print_ISBN
    0-7803-3253-9
  • Type

    conf

  • DOI
    10.1109/ROMAN.1996.568745
  • Filename
    568745