[Computer-go] Mastering the Game of Go with Deep Neural Networks and Tree Search
ojflewis at yahoo.co.uk
Wed Feb 3 01:37:53 PST 2016
Is the paper still available for download? The direct link appears to be
On Wed, Feb 3, 2016 at 2:06 AM, Igor Polyakov <weiqiprogramming at gmail.com>
> 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
> On Feb 1, 2016 3:03 PM, "Rainer Rosenthal" <r.rosenthal at web.de> wrote:
>> Robert: "Hey, AI, you should provide explanations!"
>> AI: "Why?"
>>> 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
>>> CAKX5Gkjc7J0UQ_PMxyUmYFRe7r+7ydLTigBNa5Oo7KvnZq7qNA at mail.gmail.com>
>>> Content-Type: text/plain; charset="utf-8"
>>> I'm not seeing the ROI in attempting to map human idiosyncratic
>>> systems to/into a Go engine.
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