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
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