No. 1: Agents that Learn from Human Teachers
Contents
Phrasing Questions
PDFLearning Robot Motion Control from Demonstration and Human Advice
PDFHelp Me Understand You: Addressing the Speech Recognition Bottleneck
PDFAsking Questions and Developing Trust
PDFA Confidence-Based Approach to Multi-Robot Learning from Demonstration
PDFLearning Prospective Robot Behavior
PDFA Task Specification Language for Bootstrap Learning
PDFToward Mixed-Initiative Email Clustering
PDFCLARIFY: Human-Powered Training of SMT Models
PDFIteration Learning by Demonstration
PDFDesign Principles for Creating Human-Shapable Agents
PDFAssisting Transfer-Enabled Machine Learning Algorithms: Leveraging Human Knowledge for Curriculum Design
PDFEncoding Intelligent Agents for Uncertain, Unknown, and Dynamic Tasks: From Programming to Interactive Artificial Learning
PDFInteractive Planning for Shepherd Motion
PDFCurricula and Metrics to Investigate Human-Like Learning
PDFPredicting the Robot Learning Curve based on Properties of Human Interaction
PDFQuestion Asking to Inform Preference Learning: A Case Study
PDFScaffolding Instructions to Learn Procedures from Users
PDFLearning Sequential Composition Plans Using Reduced-Dimensionality Examples
PDFTeaching an Agent by Playing a Multimodal Memory Game: Challenges for Machine Learners and Human Teachers
PDFLearning from Disagreeing Demonstrators
PDFOrganizing Committee
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