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- Introduction
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Classroom Contents
Generalizable Autonomy for Robot Manipulation
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- 1 - Introduction
- 2 - Achieving generalizable autonomy
- 3 - Leveraging imitation learning
- 4 - Learning visuo-motor policies
- 5 - Learning skills
- 6 - Off-policy RL + AC-Teach
- 7 - Compositional planning
- 8 - Model-based RL
- 9 - Leveraging task structure
- 10 - Neural task programming NTP
- 11 - Data for robotics
- 12 - RoboTurk
- 13 - Summary
