I suspect that even with a similarly large training sample for
initialization that AlphaGo would suffer a major reduction in apparent
skill level. The CNN would require many more layers of convolution;
the valuation of positions would be much more uncertain; play in the
corner, edges, and center would all be more complicated patterns, and
there would be far more good candidates to consider at each ply and
rollouts would be much less stable and less accurate.
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