Although it cannot replace MC simulations altogether, it *could* be used
for more accurate prior values I suppose. Do you plan to integrate it in
a MCTS program and see? Michi is also written in python...
Gonçalo
On 12/01/2016 21:30, Justin .Gilmer wrote:
Hey everyone,
I recently trained a CNN to do board evaluation in Go. You can see the
work on github:
https://github.com/jmgilmer/GoCNN
The network was trained on 15000 professional games which didn't end in
resignation, I had the network try to predict the final ownership based on
current board position. It's really interesting to see what it learned,
although I'm not sure it would perform well as part of a go engine (it is
not great at life and death). I invite you to check out the github repo, I
have some demonstrations of the model in the README. Any
comments/criticisms/questions are most welcome, I will be working to
improve the model in the future.
Cheers!
-Justin
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