Hi Aja,
I think (1) is what you are doing, if I understand correctly. Did you ever
try (2)? I imagine you might already have tried it (maybe it's bad?)
because it's a really easy experiment.
Yes, I did (1).
I did not try (2), but I will.
Hiroshi Yamashita
----- Original Message -----
From: "Aja Huang" <ajahu...@google.com>
To: <computer-go@computer-go.org>
Sent: Monday, October 05, 2015 12:32 AM
Subject: Re: [Computer-go] Detlef's DCNN data
Hi Hiroshi,
On Fri, Sep 18, 2015 at 7:08 PM, Hiroshi Yamashita <y...@bd.mbn.or.jp> wrote:
DCNN returns each move probabilty. I multiply it by 1000, and multiply
it by each move's rating. (r *= 1000 means multiply by 1000).
Aya calls DCNN when node is created. Aya makes 900 nodes in 10000
playouts. GTS 450 needs 17.4ms for a position. 900*17.4 = 15.6 sec
is needed. Aya needs 5 sec for 10000 playout without DCNN, and
20.6 sec with DCNN. So 4 times slower.
Did you try only using CNN's prior as described in our CNN paper? That is
to say,
For every legal move on the board,
1. Mix MM gamma values with CNN prior by treating CNN's probability p as
gamma value 1000 * p.
2. Use CNN's p.
I think (1) is what you are doing, if I understand correctly. Did you ever
try (2)? I imagine you might already have tried it (maybe it's bad?)
because it's a really easy experiment.
Aja
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