[Computer-go] interesting paper in arXiv

I think, this new paper by Yuandong Tian and Yan Zhu is interesting for us: Better Computer Go Player with Neural Network and Long-term Prediction http://arxiv.org/abs/1511.06410 Cheers, Ingo. ___ Computer-go mailing list Computer-go@computer-go.org

Re: [Computer-go] Value Network

-BEGIN PGP SIGNED MESSAGE- Hash: SHA1 Hi, thanks a lot for sharing! I try a slightly different approach at the moment: I use a combined policy / value network (adding 3-5 layers with about 16 filters at the end of the policy network for the value network to avoid overfitting) and I use

[Computer-go] Value Network

Hi, I tried to make Value network. "Policy network + Value network" vs "Policy network" Winrate Wins/Games 70.7%322 / 455,1000 playouts/move 76.6%141 / 184, 1 playouts/move It seems more playouts, more Value network is effetctive. Games is not enough though. Search is