3 ms·

Deep Mind have already beat this game with AlphaZero.

• deleted 6y ago
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• pmontra 6y ago
  The standard version of shogi. I wonder if the extra space and pieces would increase the length of training polynomially or exponentially.
  • dmurray 6y ago
    Go was considered to be difficult for computers because of the high branching factor compared to chess. DeepMind still beat the best humans there pretty comfortably, with similar amounts of training to what allowed it to compete with the best engines in chess and shogi. I'd expect AlphaZero to hammer the best humans given a similar amount of training (~100,000 2017 TPU-hours) in this shogi variant, so no increased training time at all by that metric. Maybe a more meaningful metric is how closely it approaches perfect play, but we don't have a good way to measure that.
    • jonbaer 6y ago
      I am also more curious about the 9-dimensional Space shogi, https://en.wikipedia.org/wiki/Space_shogi https://en.wikipedia.org/wiki/Space_shogi ... "Black starts the game occupying levels 1 through 3; White starts on levels 9 through 7."
      • dmurray 6y ago
        Isn't it just 3-dimensional (9x9x9)? That's a smaller playing space than taikyoku shogi, it's again a game equivalent to chess (in the von Neumann sense) and a computer wouldn't find anything more conceptually difficult about moving through a 3d array than a 2d one. So I'd expect the computer's advantage to be even larger here.