Demystifying AlphaGo
David Leonard
May 3, 2016
State Space
State space of Chess
\Omega 10^{120}
208,168,199,381,979,984,699,478,633,344,862,770,286,522, 453,884,530,548,425,639,456,820,927,419,612,738,015,378, 525,648,451,698,519,643,907,259,916,015,628,128,546,089, 888,314,427, 129,715,319,317,557,736,620,397,247,064,840, 935.
Number of legal Go moves
250^{150} \approx
Terminology
Monte Carlo Tree Search
Monte Carlo Tree Search
Monte Carlo Tree Search
Monte Carlo Tree Search
Monte Carlo Tree Search
Convolutional Neural Networks
Convolutional Neural Networks
Convolutional Neural Networks
Policy Network
p(a|s)
[0.1, 0.25, 0.50, 0.05, 0.10]
[1, 4, 90, 42, 18]
Value Network
v_{\theta}(s')
Training
Supervised Learning of the Policy Network
Reinforcement Learning of the Policy Network
Reinforcement Learning of the Value Network
Results
Questions
Artificial Intelligence II Final Presentation
By David Leonard
Artificial Intelligence II Final Presentation
Exploring Google DeepMind's AlphaGo
