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It would be great if his co-commentator was a computer scientist who is knowledgeable about AlphaGo's algorithm.

Indeed, I wish someone could talk about how the value/policy thing works.

As I understand it, the value network takes the place of the heuristic for scoring a given board layout, and the policy network takes the place of the heuristic for ordering moves from most to least promising.

When searching the game tree, at each ply the most promising N moves are examined (as determined by the policy network) and leaves of the game tree are scored by the value network.

I don't think that's fair at all to Chris. As someone who has never watched GO before, he kept the topic often to very beginner level questions, and often kept Michael on topic a little bit. I would say Chris added a lot of value to my experience, although this is the first time watching either of them.

I mean it's classic sports broadcasting. You have the expert and the guys who gives the expert someone to back and forth with. E-sports has been using that formula for ever.