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

Xavier Combelle xavier.combelle at gmail.com
Wed Dec 6 10:48:53 PST 2017


Another result is that chess is really drawish, at the opposite of shogi


Le 06/12/2017 à 18:50, Richard Lorentz a écrit :
> One chess result stood out for me, namely, just how much easier it was
> for AlphaZero to win with white (25 wins, 25 draws, 0 losses) rather
> than with black (3 wins, 47 draws, 0 losses).
>
> Maybe we should not give up on the idea of White to play and win in chess!
>
> On 12/06/2017 01:24 AM, Hiroshi Yamashita wrote:
>> Hi,
>>
>> 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://urldefense.proofpoint.com/v2/url?u=https-3A__arxiv.org_pdf_1712.01815.pdf&d=DwIGaQ&c=Oo8bPJf7k7r_cPTz1JF7vEiFxvFRfQtp-j14fFwh71U&r=i0hg-cKH69CA5MsdosvezQ&m=w0qxE9GOfBVzqPOT0NBm1nsdQqJMlNu40BOCWfsO-gQ&s=dsola-9J77ArHVeuVc0ZCZKn2nJOsjfsnJzPc_MdPDo&e=
>>
>>
>> AlphaZero(Chess) outperformed Stockfish after 4 hours,
>> AlphaZero(Shogi) outperformed elmo after 2 hours.
>>
>> Search is MCTS.
>> AlphaZero(Chess) searches     80,000 positions/sec.
>> Stockfish        searches 70,000,000 positions/sec.
>> AlphaZero(Shogi) searches     40,000 positions/sec.
>> elmo             searches 35,000,000 positions/sec.
>>
>> Thanks,
>> Hiroshi Yamashita
>>
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>> https://urldefense.proofpoint.com/v2/url?u=http-3A__computer-2Dgo.org_mailman_listinfo_computer-2Dgo&d=DwIGaQ&c=Oo8bPJf7k7r_cPTz1JF7vEiFxvFRfQtp-j14fFwh71U&r=i0hg-cKH69CA5MsdosvezQ&m=w0qxE9GOfBVzqPOT0NBm1nsdQqJMlNu40BOCWfsO-gQ&s=Dflm7ezefzMJ9xLNmNYrSQKWa7qvG9FkzlCHngo_NcY&e=
>
>
>
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