How Does DeepMind's AlphaGo Zero Work?
<p>Jan 08, 2018 09:39 PM</p>
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transfer learning.... </p>
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go to minute 5... he explains: policy network vs value network...</p>
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Policy: reduce the # of possible moves</p>
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Value: assign value (eval) the remaining board positions and likelihood of winning from each.</p>
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both were 12 layer CNNs</p>
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used RL in pre-training on games played by humans</p>
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But A-go zero is tabula rasa (no human games at all) and uses combo of policy and value CNN
to play against itself.</p>
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