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Monte Carlo Tree Search
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Classroom Contents
From Tic Tac Toe to AlphaGo - Playing Games with AI and Machine Learning
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- 1 Intro
- 2 What do you need
- 3 Chess
- 4 Problem with Chess
- 5 Horizon Problem
- 6 Pruning
- 7 Pruning is dangerous
- 8 Better pruning
- 9 Minimax pruning
- 10 Chess bot
- 11 Chess branching factor
- 12 Go
- 13 Problems with Go
- 14 Monte Carlo Tree Search
- 15 How long will it take
- 16 Neural networks
- 17 Neural network playground
- 18 Tensorflow
- 19 convolutional neural networks
- 20 Reinforced network Go
- 21 Value network Go
- 22 Combining all the pieces
- 23 The Challenger
- 24 The Challenger Game 1
- 25 The Challenger Game 2
- 26 The Challenger Game 4
- 27 Conclusion
- 28 Nobody thought AlphaGo
- 29 AlphaGo went silent
- 30 New player MasterP
- 31 Healthcare
- 32 Questions