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Intro
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Classroom Contents
Learning to Optimize High Dimensional Optimization Problems
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- 1 Intro
- 2 Reinforcement Learning
- 3 GOOGLE TEACHES AI TO PLAY THE GAME OF CHIP DESIGN
- 4 Black box Optimization
- 5 Properties of Black box functions
- 6 Latent Space Monte-Carlo Tree Search (LaMCTS)
- 7 Simple Usage
- 8 Another example
- 9 Motivating Examples
- 10 The Meaning of Learning Action Space
- 11 How to learn the action space?
- 12 Different Partition → Different Value Distribution
- 13 Learn action space
- 14 Approach
- 15 Sample in a Leaf
- 16 Performance
- 17 Optimizing linear policy for Mujoco tasks
- 18 Limitations
- 19 Multi-Objective Optimization
