[Link] AlphaGo: Mastering the ancient game of Go with Machine Learning

ESRogs

DeepMind's go AI, called AlphaGo, has beaten the European champion with a score of 5-0. A match against top ranked human, Lee Se-dol, is scheduled for March.

Games are a great testing ground for developing smarter, more flexible algorithms that have the ability to tackle problems in ways similar to humans. Creating programs that are able to play games better than the best humans has a long history

[...]

But one game has thwarted A.I. research thus far: the ancient game of Go.

http://googleresearch.blogspot.com/2016/01/alphago-mastering-ancient-game-of-go.html

DeepMind's go AI, called AlphaGo, has beaten the European champion with a score of 5-0. A match against top ranked human, Lee Se-dol, is scheduled for March.

Games are a great testing ground for developing smarter, more flexible algorithms that have the ability to tackle problems in ways similar to humans. Creating programs that are able to play games better than the best humans has a long history

[...]

But one game has thwarted A.I. research thus far: the ancient game of Go.

http://googleresearch.blogspot.com/2016/01/alphago-mastering-ancient-game-of-go.html

Specifically I meant approx bayesian inference over the tensor program space to learn the ANN, not that the ANN itself needs to implement bayesian inference (although they will naturally tend to learn that, as we see in all the evidence for various bayesian ops in the brain) .

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[Link] AlphaGo: Mastering the ancient game of Go with Machine Learning

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[Link] AlphaGo: Mastering the ancient game of Go with Machine Learning

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