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imitation learning
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Classroom Contents
Pieter Abbeel on Research Directions - Full Stack Deep Learning - November 2019
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- 1 Intro
- 2 Supervised Learning
- 3 Model Agnostic Metalearning
- 4 Data Sets
- 5 References
- 6 Optimization
- 7 Reptile vs Mammal
- 8 Reinforcement Learning
- 9 What is reinforcement learning
- 10 Learning to play video games
- 11 Learning to control robots
- 12 How good is the learning
- 13 How will we bridge this
- 14 Under the hood
- 15 Parameterize
- 16 Recurrent Neural Network
- 17 Bandits
- 18 Navigation
- 19 Metalearning
- 20 Metaworld
- 21 Algorithms
- 22 Diabetes
- 23 Meta learning
- 24 imitation learning
