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Intro
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Classroom Contents
How Can Machines Learn Human Values? - With Brian Christian
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 walter Pitts
- 3 Imagenet
- 4 The alignment problem
- 5 Machine learning systems
- 6 Training data
- 7 Labels in the wild
- 8 Representation and data sets
- 9 What can we do about this
- 10 TCAV
- 11 Fire Truck
- 12 Robustness
- 13 Open Category Problem
- 14 Examples
- 15 What makes a system fair
- 16 Predicting reoffending
- 17 Ground truth
- 18 Potential ethical issue
- 19 Criminal justice
- 20 Risk vs Needs
- 21 Reinforcement Learning
- 22 Facebook Reinforcement Learning
- 23 Coast Runners 3
- 24 Sparsity
- 25 Designing reward functions
- 26 Behavior cloning
- 27 Shadow mode
- 28 Inverse reinforcement learning
