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Summary
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Classroom Contents
Robotics Seminar - Bradley Hayes - University of Colorado Boulder
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- 1 Introduction
- 2 Explanationable AI
- 3 Shared Expectations
- 4 Classification and Interpretation
- 5 Task Execution
- 6 Demonstrations
- 7 Learning from demonstration
- 8 Learning from demonstration pipeline
- 9 Treebased demonstrations
- 10 Takeaways
- 11 Algorithm
- 12 Collaborative Robotics
- 13 Query Analysis
- 14 Key Takeaway
- 15 Using Robots to Shape Human Behavior
- 16 Learning from Environment
- 17 Compounding State Vector
- 18 Tracking Belief
- 19 Communication
- 20 Pseudocoup
- 21 Rules
- 22 Experiment
- 23 Hypothesis
- 24 Results
- 25 Sentimental Intelligence
- 26 Motivation
- 27 Issues
- 28 Summary
- 29 Feedback
- 30 Policy elicitation
- 31 Conclusion
- 32 Natural Language Understanding
- 33 Humanism
- 34 Not Talking
- 35 Out of Field
- 36 Statespace
- 37 Enable
- 38 Exaggeration
- 39 Machine Learning
