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Understanding Human Teaching Modalities in Reinforcement Learning Environments: A Preliminary Report.
W. Bradley
Knox and Peter Stone.
In IJCAI 2011 Workshop on Agents Learning Interactively
from Human Teachers (ALIHT), July 2011.
IJCAI 2011 Workshop
on Agents Learning Interactively from Human Teachers (ALIHT)
[PDF]372.4kB [postscript]41.6MB
While traditional agent-based learning techniques have enjoyed considerable success, in recent years there has been a growing interest in improving such learning by leveraging humans as teachers. These human-in-the-loop methods have demon- strated substantial improvements by using human subjects in a variety of interaction modalities. Un- fortunately, there are few, if any, guidelines about when one teaching modality is more appropriate than another. In addition to highlighting this impor- tant gap in the current literature, this paper presents a pilot study that compares two specific teaching modalities: learning by feedback and learning by demonstration, and proposes a set of hypotheses about their relative performance.
@InProceedings{IJCAI_ALIHT11-knox2,
author="W.\ Bradley Knox and Peter Stone",
title="Understanding Human Teaching Modalities in Reinforcement Learning Environments: A Preliminary Report",
booktitle="IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT)",
month="July",
year="2011",
abstract={
While traditional agent-based learning techniques have
enjoyed considerable success, in recent years there has
been a growing interest in improving such learning by
leveraging humans as teachers. These human-in-the-loop
methods have demon- strated substantial improvements by
using human subjects in a variety of interaction
modalities. Un- fortunately, there are few, if any,
guidelines about when one teaching modality is more
appropriate than another. In addition to highlighting this
impor- tant gap in the current literature, this paper
presents a pilot study that compares two specific teaching
modalities: learning by feedback and learning by
demonstration, and proposes a set of hypotheses about their
relative performance.
},
wwwnote={<a href="http://www.cs.utexas.edu/~bradknox/IJCAI-ALIHT11">IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT)</a>},
}
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