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Scaling AI Applications with Ray - Richard Liaw & Eric Liang | ODSC East 2019
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- 1 Preparation
- 2 The Big Picture
- 3 A Growing Number of Use Cases
- 4 Ray API
- 5 Ray Architecture
- 6 What is Tune?
- 7 Why a framework for tuning hyperparameters?
- 8 Tune is built with Deep Learning as a priority.
- 9 Tune is simple to use.
- 10 What is RLlib?
- 11 Background: What is reinforcement learning?
- 12 Growing number of RL applications
- 13 A scalable, unified library for reinforcement learning
- 14 Reference Algorithms
- 15 Performance
- 16 Exercises
