[Computer-go] Mastering the Game of Go with Deep Neural Networks and Tree Search

Álvaro Begué alvaro.begue at gmail.com
Wed Feb 3 06:21:08 PST 2016


I searched for the file name on the web and found this copy:
http://airesearch.com/wp-content/uploads/2016/01/deepmind-mastering-go.pdf

Álvaro.



On Wed, Feb 3, 2016 at 4:37 AM, Oliver Lewis <ojflewis at yahoo.co.uk> wrote:

> Is the paper still available for download? The direct link appears to be
> broken.
>
> Thanks
>
> Oliver
>
>
> On Wed, Feb 3, 2016 at 2:06 AM, Igor Polyakov <weiqiprogramming at gmail.com>
> wrote:
>
>> I think it would be an awesome commercial product for strong Go players.
>> Maybe even if the AI shows the continuations and the score estimates
>> between different lines, it will give the player enough reasoning to
>> understand why one move is better than the other.
>>
>>
>> On 2016-02-02 8:29, Jim O'Flaherty wrote:
>>
>> And to meta this awesome short story...
>>
>> AI Software Engineers: Robert, please stop asking our AI for
>> explanations. We don't want to distract it with limited human
>> understanding. And we don't want the Herculean task of coding up that
>> extremely frail and error prone bridge.
>> On Feb 1, 2016 3:03 PM, "Rainer Rosenthal" <r.rosenthal at web.de> wrote:
>>
>>> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
>>> Robert: "Hey, AI, you should provide explanations!"
>>> AI: "Why?"
>>> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
>>>
>>> Cheers,
>>> Rainer
>>>
>>>> Date: Mon, 1 Feb 2016 08:15:12 -0600
>>>> From: "Jim O'Flaherty" <jim.oflaherty.jr at gmail.com>
>>>> To: computer-go at computer-go.org
>>>> Subject: Re: [Computer-go] Mastering the Game of Go with Deep Neural
>>>>         Networks and Tree Search
>>>> Message-ID:
>>>>         <
>>>> CAKX5Gkjc7J0UQ_PMxyUmYFRe7r+7ydLTigBNa5Oo7KvnZq7qNA at mail.gmail.com>
>>>> Content-Type: text/plain; charset="utf-8"
>>>>
>>>> Robert,
>>>>
>>>> I'm not seeing the ROI in attempting to map human idiosyncratic
>>>> linguistic
>>>> systems to/into a Go engine.
>>>>
>>>
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>>
>>
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