You might be pleased to know this is fairly close to Monte Carlo tree search, the best algorithm for general game solving, until Google's deep learning came along.
I thought AlphaGo was still using Monte Carlo tree search, just with two neural networks: one to estimate the board values, and one to estimate likelihood of moves for sampling.
