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
Link To Document :
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