[Computer-go] learning patterns for mc go

[Hendrik Baier]

To clarify: I'm not looking for a program that learns to play go in a 
very general sense. I'm looking for principled approaches to finding the 
optimal pattern set/pattern weights for use in Monte Carlo playouts, or 
to optimizing Monte Carlo playouts in some other way - similar to how it 
was done in "Monte Carlo Simulation Balancing". Are there no more papers?

Hendrik
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