[Computer-go] Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
mahrgell87 at gmail.com
Tue Dec 19 09:25:42 PST 2017
There is not much to achieve there though.
It is expected that an AI will be able to outplay a Human opponent simply
on micro tricks. Perfect single unit micromanagment across the entire map
can easily gain a large enough edge, that the strategic decision making
with imperfect information doesn't have to reach too high levels.
So most likely any win the AI will achieve will be discredited by the Human
players due to this.
2017-12-19 16:26 GMT+01:00 Andy <andy.olsen.tx at gmail.com>:
> Google has already announced their next step -- Starcraft2. But so far the
> results they published aren't mind blowing like these.
> 2017-12-19 9:15 GMT-06:00 Fidel Santiago <pperez333 at gmail.com>:
>> I was thinking about this development and what it may mean from the point
>> of view of a more general AI. I daresay the next experiment would be to
>> have just one neural net playing the three games, right? To my
>> understanding we still have three instances of the same *methodology*
>> but not yet a single one playing different games.
>> Best regards,
>> Fidel Santiago.
>> Computer-go mailing list
>> Computer-go at computer-go.org
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> Computer-go at computer-go.org
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