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<font face="Times New Roman, Times, serif">I would recommend
checking out TensorFlow ( <a class="moz-txt-link-freetext" href="https://www.tensorflow.org/">https://www.tensorflow.org/</a> ). It is
open source (something I am a big advocate for, if your are making
the game, go open source! Especially games that are user based,
you can still charge for a subscription!) and widely used by large
data science and machine learning companies (like Google who
created it). </font><br>
<pre class="moz-signature" cols="72">Aaron E-J
The Other Realm LLC
<a class="moz-txt-link-freetext" href="http://otherrealm.org">http://otherrealm.org</a>
<a class="moz-txt-link-freetext" href="http://theotherrealm.org">http://theotherrealm.org</a> (Blog)</pre>
<div class="moz-cite-prefix">On 2020-03-25 10:03 AM, Alan Frank via
Hidden-discuss wrote:<br>
</div>
<blockquote type="cite"
cite="mid:788184a8b2677beede82d48cf34828de@8wheels.org">Hi,
<br>
<br>
I am working on a program to play a game which is structurally
similar to backgammon. (It is a proprietary game, so I don't want
to use the name on a semi-public forum.) I anticipate using some
form of machine learning to get the program to play well. All of
the references which I have been able to find on machine learning
are for training against static data sets or solitaire games. I
have some ideas on how to do what I want, but not necessarily
using state-of-the-art techniques. Because I am hoping, in
addition to coming up with a good program, to be in a position to
get a job in the machine learning field, I am looking for any
resources on current techniques that might be helpful in this
domain. It would be particularly helpful to use AWS machine
learning here, as I am also trying to get up to speed on AWS.
<br>
<br>
--Alan
<br>
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