Item — HN Reader

Are there any plans to do this for Chess?

I imagine that this is an iteration of the Alpha Go engine, people working on this are very current with Alpha Go.

If Chess is similar, then wouldn't DeepMind be able to bootstrap game knowledge. Perhaps this isn't a big goal, but Chess is Chess after all.

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There was a project for chess, called giraffe https://bitbucket.org/waterreaction/giraffe whose author shut it down after joining google deep mind: http://www.talkchess.com/forum/viewtopic.php?t=59003

He thinks it's only a matter of time till machine learning beats hand crafted systems like stockfish even in chess.

http://arxiv.org/abs/1509.01549

Does alphazero beat stock fish purely by self play. That would be huge. Stock fish is the result of so many hand crafted optimizations over a large game play dataset.

Intuitively you'd expect deep learning to improve on Stockfish's evaluation of positions, but perhaps not at the same level of throughput. I'm also intrigued as to whether a purely self-taught AI system can compare in the endgame to an engine with access to a 7-piece endgame tablebase, whose evaluation of those positions is obviously _perfect_.