Agents that Learn from Human Teachers
Papers from the 2009 AAAI Spring Symposium
Andrea L. Thomaz, Program Chair
Technical Report SS-09-01. Published by The AAAI Press, Menlo Park, California. This technical report is also available in book and CD format.
Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!
Contents
Organizing Committee / iii
Andrea L. Thomaz
CLARIFY: Human-Powered Training of SMT Models / 1
D. Scott Appling, Ellen Yi-Luen Do
Learning Robot Motion Control from Demonstration and Human Advice / 8
Brenna D. Argall, Brett Browning, Manuela Veloso
Curricula and Metrics to Investigate Human-Like Learning / 16
Jacob Beal, Paul Robertson, Robert Laddaga
A Confidence-Based Approach to Multi-Robot Learning from Demonstration / 20
Sonia Chernova, Manuela Veloso
Encoding Intelligent Agents for Uncertain, Unknown, and Dynamic Tasks: From Programming to Interactive Artificial Learning / 28
Jacob W. Crandall, Michael A. Goodrich, Lanny Lin
Learning from Disagreeing Demonstrators / 36
Bruno N. da Silva
Iteration Learning by Demonstration / 40
Steven Eker, Thomas J. Lee, Melinda Gervasio
A Task Specification Language for Bootstrap Learning / 48
Ian Fasel, Michael Quinlan, Peter Stone
Question Asking to Inform Preference Learning: A Case Study / 56
Melinda Gervasio, Karen Myers, Marie desJardins, Fusun Yaman
Scaffolding Instructions to Learn Procedures from Users / 63
Paul Groth, Yolanda Gil
Toward Mixed-Initiative Email Clustering / 71
Yifen Huang, Tom M. Mitchell
Design Principles for Creating Human-Shapable Agents / 79
W. Bradley Knox, Ian Fasel, Peter Stone
Phrasing Questions / 87
Geert-Jan M. Kruijff, Michael Brenner
Interactive Planning for Shepherd Motion / 95
Jyh-Ming Lien, Emlyn Pratt
Learning Sequential Composition Plans Using Reduced-Dimensionality Examples / 103
Nik A. Melchior, Reid Simmons
Learning Prospective Robot Behavior / 111
Shichao Ou, Rod Grupen
Help Me Understand You: Addressing the Speech Recognition Bottleneck / 119
Rebecca J. Passonneau, Susan L. Epstein, Joshua B. Gordon
Predicting the Robot Learning Curve based on Properties of Human Interaction / 127
Sekou Remy, Ayanna M. Howard
Asking Questions and Developing Trust / 133
Stephanie Rosenthal, Manuela Veloso, Anind Dey
Assisting Transfer-Enabled Machine Learning Algorithms: Leveraging Human Knowledge for Curriculum Design / 141
Matthew E. Taylor
Teaching an Agent by Playing a Multimodal Memory Game: Challenges for Machine Learners and Human Teachers / 144
Byoung-Tak Zhang
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