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AAAI Spring Symposium 2009 - Agents that Learn from Human Teachers: Stanford University, CA, USA
- 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 2009
- Andrea Lockerd Thomaz:
Organizing Committee. - Darren Scott Appling, Ellen Yi-Luen Do:
CLARIFY: Human-Powered Training of SMT Models. 1-7 - Brenna D. Argall, Brett Browning, Manuela M. Veloso:
Learning Robot Motion Control from Demonstration and Human Advice. 8-15 - Jacob Beal, Paul Robertson, Robert Laddaga:
Curricula and Metrics to Investigate Human-Like Learning. 16-19 - Sonia Chernova, Manuela M. Veloso:
A Confidence-Based Approach to Multi-Robot Learning from Demonstration. 20-27 - Jacob W. Crandall, Michael A. Goodrich, Lanny Lin:
Encoding Intelligent Agents for Uncertain, Unknown, and Dynamic Tasks: From Programming to Interactive Artificial Learning. 28-35 - Bruno Norberto da Silva:
Learning from Disagreeing Demonstrators. 36-39 - Steven Eker, Thomas J. Lee, Melinda T. Gervasio:
Iteration Learning by Demonstration. 40-47 - Ian R. Fasel, Michael J. Quinlan, Peter Stone:
A Task Specification Language for Bootstrap Learning. 48-55 - Melinda T. Gervasio, Karen L. Myers, Marie desJardins, Fusun Yaman:
Question Asking to Inform Preference Learning: A Case Study. 56-62 - Paul Groth, Yolanda Gil:
Scaffolding Instructions to Learn Procedures from Users. 63-70 - Yifen Huang, Tom M. Mitchell:
Toward Mixed-Initiative Email Clustering. 71-78 - W. Bradley Knox, Ian R. Fasel, Peter Stone:
Design Principles for Creating Human-Shapable Agents. 79-86 - Geert-Jan M. Kruijff, Michael Brenner:
Phrasing Questions. 87-94 - Jyh-Ming Lien, Emlyn Pratt:
Interactive Planning for Shepherd Motion. 95-102 - Nik A. Melchior, Reid G. Simmons:
Learning Sequential Composition Plans Using Reduced-Dimensionality Examples. 103-110 - Shichao Ou, Roderic A. Grupen:
Learning Prospective Robot Behavior. 111-118 - Rebecca J. Passonneau, Susan L. Epstein, Joshua B. Gordon:
Help Me Understand You: Addressing the Speech Recognition Bottleneck. 119-126 - Sekou L. Remy, Ayanna M. Howard:
Predicting the Robot Learning Curve based on Properties of Human Interaction. 127-132 - Stephanie Rosenthal, Manuela M. Veloso, Anind K. Dey:
Asking Questions and Developing Trust. 133-140 - Matthew E. Taylor:
Assisting Transfer-Enabled Machine Learning Algorithms: Leveraging Human Knowledge for Curriculum Design. 141-143 - Byoung-Tak Zhang:
Teaching an Agent by Playing a Multimodal Memory Game: Challenges for Machine Learners and Human Teachers. 144-
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