Re: [Computer-go] Evaluation function through Deep Convolutional Neural Networks

To me, that's the core lesson of MCTS - take your hands off that evaluation button. On Sat, Jan 10, 2015 at 12:00 AM, Darren Cook wrote: > > The discussion on move evaluation via CNNs got me wondering: has anyone > > tried to make an evaluation function with CNNs ? > > My first thought was a hum

Re: [Computer-go] Evaluation function through Deep Convolutional Neural Networks

> The discussion on move evaluation via CNNs got me wondering: has anyone > tried to make an evaluation function with CNNs ? My first thought was a human can find good moves with a glance at a board position, but even the best pros need to both count and use search to work out the score. So NNs go

[Computer-go] Evaluation function through Deep Convolutional Neural Networks

The discussion on move evaluation via CNNs got me wondering: has anyone tried to make an evaluation function with CNNs ? I mean, it's hard to really combine CNNs move estimator with a tree search: you still need something to tell what the best leaf is. Given the state of the art, the reflex is to