Adding an output layer for MCTS exploration

[Centaurea-Platinum]

It seems probable that adding a layer in the output tensor and letting the neural net tell the MCTS how to distribute computing power in the tree search could be more effective then the current noise based methodology? Perhaps the model can learn positions where there are likely blindspots and lean the tree search there even though the winrates of these positions are low initially.