If your database is composed of self-play games, then the likelihood
maximization policy should gain strength rapidly, and there should be a way to
have asymptotic optimality. (That is, the patterns alone will play a perfect
game in the limit.)
Specifically: play self-play games using an asy
Thanks, Rémi!
-- Forwarded message --
From: Rémi Coulom
Date: Sun, Feb 12, 2017 at 4:24 AM
Subject: Playout policy optimization
To: Álvaro Begué
Hi Alvaro,
I cannot post to the list any more. Please forward this message to the list
if you can.
Your idea is simulation balancin
Not with the free.fr address
Le 12 févr. 2017 11:21, "Lukas van de Wiel" a
écrit :
> Well, Remi.
>
> Obviously, you still can, somehow.
>
> Lukas
>
> On Sun, Feb 12, 2017 at 10:18 AM, Rémi Coulom
> wrote:
>
>> : host mail.eugeneweb.com[184.105.139.163]
>> said:
>> 554 5.7.1 : Sender address
Well, Remi.
Obviously, you still can, somehow.
Lukas
On Sun, Feb 12, 2017 at 10:18 AM, Rémi Coulom wrote:
> : host mail.eugeneweb.com[184.105.139.163]
> said:
> 554 5.7.1 : Sender address rejected: Access
> denied (in
> reply to RCPT TO command)
>
>
: host mail.eugeneweb.com[184.105.139.163]
said:
554 5.7.1 : Sender address rejected: Access denied
(in
reply to RCPT TO command)
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