Indeed – Congratulations to Google DeepMind! It’s truly an immense achievement. I’m struggling to think of other examples of reasonably mature and strongly contested AI challenges where a new system has made such a huge improvement over existing systems – and I’m still struggling …
Simon Lucas From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf Of Olivier Teytaud Sent: 27 January 2016 20:27 To: computer-go <computer-go@computer-go.org> Subject: Re: [Computer-go] Mastering the Game of Go with Deep Neural Networks and Tree Search Congratulations people at DeepMind :-) I like the fact that alphaGo uses many forms of learning (as humans do!): - imitation learning (on expert games, learning an actor policy); - learning by playing (self play, policy gradient), incidentally generating games; - use of those games for teaching a second deep network (supervised learning); - real time learning with Monte Carlo simulations (including Rave ?). ==> just beautiful :-) 2016-01-27 21:18 GMT+01:00 Yamato <yamato...@yahoo.co.jp<mailto:yamato...@yahoo.co.jp>>: Congratulations Aja. Do you have a plan to run AlphaGo on KGS? It must be a 9d! Yamato _______________________________________________ Computer-go mailing list Computer-go@computer-go.org<mailto:Computer-go@computer-go.org> http://computer-go.org/mailman/listinfo/computer-go -- ========================================================= Olivier Teytaud, olivier.teyt...@inria.fr<mailto:olivier.teyt...@inria.fr>, TAO, LRI, UMR 8623(CNRS - Univ. Paris-Sud), bat 490 Univ. Paris-Sud F-91405 Orsay Cedex France http://www.slideshare.net/teytaud
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