It is darkforest, indeed:

Title: Better Computer Go Player with Neural Network and Long-term Prediction

Authors: Yuandong Tian, Yan Zhu

Competing with top human players in the ancient game of Go has been a long-term goal of artificial intelligence. Go's high branching factor makes traditional search techniques ineffective, even on leading-edge hardware, and Go's evaluation function could change drastically with one stone change. Recent works [Maddison et al. (2015); Clark & Storkey (2015)] show that search is not strictly necessary for machine Go players. A pure pattern-matching approach, based on a Deep Convolutional Neural Network (DCNN) that predicts the next move, can perform as well as Monte Carlo Tree Search (MCTS)-based open source Go engines such as Pachi [Baudis & Gailly (2012)] if its search budget is limited. We extend this idea in our bot named darkforest, which relies on a DCNN designed for long-term predictions. Darkforest substantially improves the win rate for pattern-matching approaches against MCTS-based approaches, even with looser search budgets. Against human players, darkforest achieves a stable 1d-2d level on KGS Go Server, estimated from free games against human players. This substantially improves the estimated rankings reported in Clark & Storkey (2015), where DCNN-based bots are estimated at 4k-5k level based on performance against other machine players. Adding MCTS to darkforest creates a much stronger player: with only 1000 rollouts, darkforest+MCTS beats pure darkforest 90% of the time; with 5000 rollouts, our best model plus MCTS beats Pachi with 10,000 rollouts 95.5% of the time.


On 11/03/2015 08:32 PM, Nick Wedd wrote:
I think this Facebook AI may be the program playing on KGS as darkforest and darkfores1.


On 3 November 2015 at 14:28, Petr Baudis < <>> wrote:


      Facebook is working on a Go AI too, now:

    The way it's presented triggers my hype alerts, but nevertheless:
    does anyone know any details about this?  Most interestingly, how
    strong is it?

                                    Petr Baudis
            If you have good ideas, good data and fast computers,
            you can do almost anything. -- Geoffrey Hinton
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