Hi,
Did you not find a benefit from a larger value network? Too little data
and too much overfitting? Or more benefit from more frequent evaluation?
I did not find larger value network is better.
But I think I need more taraining data and stronger selfplay.
I did not find overfitting so far, and did not try more frequent evaluation.
Policy + Value vs Policy, 1000 playouts/move, 1000 games. 9x9, komi 7.0
0.634 using game result. 0 or 1
I presume this is a winrate, but over what base? Policy network?
Yes.
Policy network(only root node) + value network vs Policy network(only root
node).
How do you handle handicap games? I see you excluded them from the KGS
dataset. Can your value network deal with handicap?
I excluded hadicap games.
My value network can not handle hadicaps. It it only for komi 7.5.
Thanks,
Hiroshi Yamashita
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