Re: [Computer-go] mini-max with Policy and Value network

2017-05-20 Thread Brian Sheppard via Computer-go
Could use late-move reductions to eliminate the hard pruning. Given the accuracy rate of the policy network, I would guess that even move 2 should be reduced. -Original Message- From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf Of Hiroshi Yamashita Sent: Saturday,

[Computer-go] mini-max with Policy and Value network

2017-05-20 Thread Hiroshi Yamashita
Hi, HiraBot author reported mini-max search with Policy and Value network. It does not use monte-carlo. Only top 8 moves from Policy is searched in root node. In other depth, top 4 moves is searched. Game result against Policy network best move (without search) Win Loss winrate M

[Computer-go] Any update of Alphago's paper planned ?

2017-05-20 Thread patrick.bardou via Computer-go
Hi ! A question for Aja:  It has been a while since January 2016 paper uncovering Alphago architecture and training pipeline. Which was related to v13 (Fan Hui match). Alphago version against Lee Sedol then the Master version have been recognized as increasingly stronger. Wuzhen version might be