[Computer-go] Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Joshua Shriver jshriver at gmail.com
Wed Dec 6 07:58:07 PST 2017


What about arimaa?

On Wed, Dec 6, 2017 at 9:28 AM, "Ingo Althöfer" <3-Hirn-Verlag at gmx.de> wrote:
> It seems, we are living in extremely
> heavy times ...
>
> I want to go to bed now and meditate for threee days.
>
>> DeepMind makes strongest Chess and Shogi programs with AlphaGo Zero method.
>> Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
>> https://arxiv.org/pdf/1712.01815.pdf
>>
>> AlphaZero(Chess) outperformed Stockfish after 4 hours,
>> AlphaZero(Shogi) outperformed elmo after 2 hours.
>
> It may sound strange, but at the moment my only hopes for
> games too difficult for AlphaZero might be
>
> * a connection game like Hex (on 19x19 board)
>
> * a game like Clobber (based on CGT)
>
> Mastering Clobber would mean that also the concept of
> combinatorial game theory would be "easily" learnable.
>
>
> Side question: Would the classic Nim game be
> a trivial nut for AlphaZero ?
>
> Ingo (is now starting to hope for an AlphaZero type program
> that can do "general" mathematical research).
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