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AAAI Spring Symposium: Agents that Learn from Human Teachers
2009
2009
2009
Keyphrases
Publications
2009
Matthew E. Taylor
Assisting Transfer-Enabled Machine Learning Algorithms: Leveraging Human Knowledge for Curriculum Design.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Nik A. Melchior
,
Reid G. Simmons
Learning Sequential Composition Plans Using Reduced-Dimensionality Examples.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Brenna D. Argall
,
Brett Browning
,
Manuela M. Veloso
Learning Robot Motion Control from Demonstration and Human Advice.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Sekou L. Remy
,
Ayanna M. Howard
Predicting the Robot Learning Curve based on Properties of Human Interaction.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Byoung-Tak Zhang
Teaching an Agent by Playing a Multimodal Memory Game: Challenges for Machine Learners and Human Teachers.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Bruno Norberto da Silva
Learning from Disagreeing Demonstrators.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
W. Bradley Knox
,
Ian R. Fasel
,
Peter Stone
Design Principles for Creating Human-Shapable Agents.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Ian R. Fasel
,
Michael J. Quinlan
,
Peter Stone
A Task Specification Language for Bootstrap Learning.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Jyh-Ming Lien
,
Emlyn Pratt
Interactive Planning for Shepherd Motion.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Agents that Learn from Human Teachers, Papers from the 2009 AAAI Spring Symposium, Technical Report SS-09-01, Stanford, California, USA, March 23-25, 2009
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Melinda T. Gervasio
,
Karen L. Myers
,
Marie desJardins
,
Fusun Yaman
Question Asking to Inform Preference Learning: A Case Study.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Andrea Lockerd Thomaz
Organizing Committee.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Sonia Chernova
,
Manuela M. Veloso
A Confidence-Based Approach to Multi-Robot Learning from Demonstration.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Rebecca J. Passonneau
,
Susan L. Epstein
,
Joshua B. Gordon
Help Me Understand You: Addressing the Speech Recognition Bottleneck.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Darren Scott Appling
,
Ellen Yi-Luen Do
CLARIFY: Human-Powered Training of SMT Models.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Jacob W. Crandall
,
Michael A. Goodrich
,
Lanny Lin
Encoding Intelligent Agents for Uncertain, Unknown, and Dynamic Tasks: From Programming to Interactive Artificial Learning.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Shichao Ou
,
Roderic A. Grupen
Learning Prospective Robot Behavior.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Steven Eker
,
Thomas J. Lee
,
Melinda T. Gervasio
Iteration Learning by Demonstration.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Paul Groth
,
Yolanda Gil
Scaffolding Instructions to Learn Procedures from Users.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Stephanie Rosenthal
,
Manuela M. Veloso
,
Anind K. Dey
Asking Questions and Developing Trust.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Yifen Huang
,
Tom M. Mitchell
Toward Mixed-Initiative Email Clustering.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Geert-Jan M. Kruijff
,
Michael Brenner
Phrasing Questions.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)
Jacob Beal
,
Paul Robertson
,
Robert Laddaga
Curricula and Metrics to Investigate Human-Like Learning.
AAAI Spring Symposium: Agents that Learn from Human Teachers
(2009)