[Computer-go] 9x9 is last frontier?

Xavier Combelle xavier.combelle at gmail.com
Fri Mar 2 09:22:42 PST 2018


Where is leela chess. How many games it is trained on?

Le 2 mars 2018 18:20, "Dan" <dshawul at gmail.com> a écrit :

> Hello Aja,
>
> Could you enlighten me on how AlphaZero handles tactics in chess ?
>
> It seems the mcts approach as described in the paper does not perform well
> enough.
>
> Leela-chess is not performing well enough even though leela-go seems to be
> doing well.
>
> Daniel
>
>
>
>
>
> On Fri, Mar 2, 2018 at 4:52 AM, Aja Huang <ajahuang at gmail.com> wrote:
>
>>
>>
>> 2018-03-02 6:50 GMT+00:00 "Ingo Althöfer" <3-Hirn-Verlag at gmx.de>:
>>
>>> Von: "David Doshay" <ddoshay at mac.com>
>>> > Go is hard.
>>> > Programming is hard.
>>> >
>>> > Programming Go is hard squared.
>>> > ;^)
>>>
>>> And that on square boards.
>>> Mama mia!
>>>
>>
>> Go is hard for humans, but in my own opinion I think Go seems to be too
>> easy for deep learning. So is programming Go now. :)
>>
>> Aja
>>
>>
>>>
>>> ;-) Ingo.
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>>
>>
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>
>
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