Batch versus Interactive Learning by Demonstration

Files
Batch versus Interactive Learning by Demonstration.pdf (207.8 KB)
Author(s)
Zang, Peng
Tian, Runhe
Thomaz, Andrea L.
Advisor(s)
Editor(s)
Associated Organization(s)
Organizational Unit
Organizational Unit
Organizational Unit
Series
Collections
Research Publications
Supplementary to:
Permanent Link
http://hdl.handle.net/1853/38258
Abstract
Agents that operate in human environments will need to be able to learn new skills from everyday people. Learning from demonstration (LfD) is a popular paradigm for this. Drawing from our interest in Socially Guided Machine Learning, we explore the impact of interactivity on learning from demonstration. We present findings from a study with human subjects showing people who are able to interact with the learning agent provide better demonstrations (in part) by adapting based on learner performance which results in improved learning performance. We also find that interactivity increases a sense of engagement and may encourage players to participate longer. Our exploration of interactivity sheds light on how best to obtain demonstrations for LfD applications.
Sponsor
This work is supported by the National Science Foundation under Grant No. 0812116.
Date
2010
Extent
Resource Type
Text
Resource Subtype
Post-print
Proceedings
Rights Statement
Rights URI