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DL, Exp, MF, M, R"Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm", Silver et al 2017 {DM} [AlphaGo Zero for chess & shogi - defeats Stockfish!] (arxiv.org)

submitted by gwern

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[–]gwern[S] 12 points13 points  (0 children)

I guess now we know what happened with Lai & Giraffe. I expected AG0 to apply to other games just as well but I'm blown away by defeating Stockfish with just hours of training. Wow. Just - wow. I'm so hyped to see what other MDPs this can be used on over the coming years.

[–]sanxiyn 1 point2 points  (2 children)

Unlike AlphaGo Zero paper, this paper doesn't seem to include neural network architecture used (number of layers, etc.). It's probably boring, but still...

[–]wyattyy 1 point2 points  (1 child)

It should be released. A large part of research is reproducibility and clarity.

It seems DeepMind has done similar things in the past of not releasing implementations. Does anyone have any insight into why?

[–]sanxiyn 4 points5 points  (0 children)

Demis Hassabis tweeted that "full paper is coming soon". Tweet is dated after arXiv paper, so arXiv paper is not a full paper. Another evidence of this is that arXiv paper does not include early games.