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Exclude low visit moves from random selection.
Right now the randomized move selection will still pick moves that only got a single visit. That means that no matter how badly they are evaluated, we still have a fair chance of playing them. This means our learning cycle can't avoid some really bad blunders. There's some indication that using FPU=parent causes these blunders to stay happening when ahead, as opposed to the AGZ method of using FPU=0.5, which ends up filtering them. Because we really want to keep FPU=parent, filter moves with only a single visit to get a similar effect, i.e. to not pick moves with a really bad evalution. This defaults the minimum visits to 1, and also adds a configurable temperature to move selection, defaulted at t=1. Pull request leela-zero#1376.
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