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Against Many Faces, games were played with standard go handicaps.
Because go is a deterministic game, there was a risk that a network might never explore some options, because it falsely thought it "knew better". That would leave blind spots in its understanding. The problem was solved by introducing randomness into the network's play, using Gibbs sampling...
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The problem was solved by introducing randomness into the network's play, using Gibbs sampling.
Networks that played too much against one opponent risked over-fitting to that opponent, hurting their results against other opponents.
results
The results are for 9x9 go, a simpler problem than the traditional 19x19 go...
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