Completed
Evaluation function for Go
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Classroom Contents
Demis Hassabis: Towards General Artificial Intelligence
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- 1 Intro
- 2 General-Purpose Learning Algorithms
- 3 Deep Blue vs. Garry Kasparov
- 4 Reinforcement Learning Framework
- 5 Grounded Cognition
- 6 Deep Reinforcement Learning
- 7 DON: A General Atari Player
- 8 Adding Memory to Neural Networks
- 9 Memory: Neural Turing Machines
- 10 3D Environments - Navigation
- 11 The History of Go
- 12 A repeated board position is not allowed
- 13 Evaluation function for Go
- 14 Intuition vs Calculation
- 15 Training the deep neural networks
- 16 Two networks: Policy and Value Nets
- 17 Combining Neural Nets with Tree Search and Rollouts
- 18 Cutting Down the Search Tree
- 19 Evaluating AlphaGo against computers
- 20 Google DeepMind Challenge Match: 9-15 March
- 21 Note on Compute Power
- 22 We won the match 4-1
- 23 Game 2 - AlphaGo's Move 37
- 24 Cultural Impact of the match
- 25 Rate of Progress: -1 rank per month
- 26 Intuition and Creativity
