The sheer amount of processing power required is kinda frustrating..
Not able to use my computer for a whole month in order to train knowing
it is only 1/100th the training time AlphaGo was trained with..

Yet it is extremely satisfying to see it grow stronger and surpass oneself..

I hope at some point DeepMind, an research instute, another big company
or somebody else with acces to a big cluster will release pre-trained models
for everybody to experiment with=)

a poor poor student;-)

On 5 January 2017 at 19:48, Lukas van de Wiel <lukas.drinkt.t...@gmail.com>
wrote:

> It helps a lot if you have to do it as a job, as a paid researcher. I once
> tried it as a volunteer job for a company I worked for at the time, but we
> only got the basic infrastructure going, after half a year of work, with
> two people.
>
> We were trying a neural network approach, while everybody said NN was done
> for in AI go, and we had to do MCTS. We were stubborn, though. As we did
> not get paid for it, we essentially could do whatever we liked.
>
> We also both had social lives that we did not want to neglect totally, so
> we might have been able to do more, had we been more dedicated. ;-)
>
> On Thu, Jan 5, 2017 at 7:35 PM, Adrian Petrescu <apetr...@gmail.com>
> wrote:
>
>> As an individual? Probably, yes.
>>
>> On Thu, Jan 5, 2017 at 1:34 PM, Xavier Combelle <
>> xavier.combe...@gmail.com> wrote:
>>
>>>
>>>
>>> Le 05/01/2017 à 02:16, Yamato a écrit :
>>> > Yes, it is AlphaGo. I am relieved that DeepMind clarified this.
>>> >
>>> > Honestly I got a little frustrated that many people didn't think that
>>> > was AlphaGo. It was almost clear to me because I know the difficulty of
>>> > developing AlphaGo-like bots.
>>> thanks for this insight, if I understand well developing a bot
>>> competitive with alphago
>>> is nearly an impossible task?
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