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Alphago-Tutorial Why is Go hard for computers to play? Game tree complexity = bd Brute force search intractable: 1. Search space is huge 2. “Impossible” for computers to evaluate who is winning Convolutional neural network Value network Evaluation v (s) s Position Policy network Move probabilities p (a|s) s Position Neural network training pipeline Human expert Supervised Learning Reinforcement Learning Self-play data Value network positions policy network policy network Supervised learning of policy networks Policy network: 12 layer convolutional neural network Training data: 30M positions from human expert games (KGS 5+ dan) Training algorithm: maximise likelihood by stochastic gradient descent Training time: 4 weeks on 50 GPUs using Google Cloud Results: 57% accuracy on held out test data (state-of-the art was 44%) Reinforcement learning of policy networks Policy network: 12 layer convolutional neural network Training data: games of self-play between policy network Training algorithm: maximise wins z by policy gradient reinforcement learning Training time: 1 week on 50 GPUs using Google Cloud Results: 80% vs supervised learning. Raw network ~3 amateur dan. Reinforcement learning of value networks Value network: 12 layer convolutional neural network Training data: 30 million games of self-play Training algorithm: minimise MSE by stochastic gradient descent Training time: 1 week on 50 GPUs using Google Cloud Results: First strong position evaluation function - previously thought impossible Exhaustive search Reducing depth with value network Reducing breadth with policy network Evaluating AlphaGo against computers 4500 AlphaGo (Seoul v18) 4000 3500 9p Professional 7p dan (p) AlphaGo (Nature v13) 5p 3000 3p 1p 2500 9d 7d Amateur 2000 dan (d) Crazy Stone Zen 5d 1500 3d Pachi Fuego 1d 1000 1k Beginner 3k kyu (k) 500 Go Gnu 5k 7k 0 Computer Programs Calibration Human Players DeepMind challenge match Lee Sedol (9p) AlphaGo (Mar 2016) Top player of 4-1 past decade Beats Beats Nature match Fan Hui (2p) AlphaGo (Oct 2015) 3-times reigning 5-0 Euro Champion Beats Beats KGS Crazy Stone and Zen Amateur humans What’s Next? Demis Hassabis.
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