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Mastering the game of Go with deep neural networks and tree search
Nature
In this work we have developed a Go program, based on a combination of deep neural networks and tree search, that plays at the level of the...
106 months ago
AlphaGo: Mastering the ancient game of Go with Machine Learning
Google Research
Posted by David Silver and Demis Hassabis, Google DeepMindGames are a great testing ground for developing smarter, more flexible algorithms...
106 months ago
AlphaGo Zero: Approaching Perfection
Synced | AI Technology & Industry Review
DeepMind recently published a paper in Nature introducing the latest evolution of its AI-powered Go program. ¡°AlphaGo Zero¡± learns in...
85 months ago
Man vs machine: how a computer beat a professional human player at Go
The World Economic Forum
Scientists said on Wednesday they have created a computer program that beat a professional human player at the complex board game called Go.
106 months ago
A Computer Has Beaten a Human Champion at Go. What Next?
Slate
Google announced that AlphaGo, a program built by its DeepMind artificial intelligence lab, had defeated the European Go champion in a...
106 months ago
Mastering the game of Stratego with model-free multiagent reinforcement learning
Science | AAAS
Stratego is a popular two-player imperfect information board game. Because of its complexity stemming from its enormous game tree,...
24 months ago
What does AI¡¯s success playing complex board games tell brain scientists?
PNAS
The lesson seems to be that neural success hinges on connectivity generated by trial-and-error learning over evolutionary and individual time.
64 months ago
Summary of the AlphaGo paper
Becoming Human: Artificial Intelligence Magazine
AlphaGo is made up of a number of relatively standard techniques: behavior cloning (supervised learning on human demonstration data), reinforcement learning (...
89 months ago
AlphaGo: using machine learning to master the ancient game of Go
Google Blog
We are thrilled to have mastered Go and thus achieved one of the grand challenges of AI.
106 months ago
Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data
Frontiers
Deep neural networks have been successfully applied in learning the board games Go, chess, and shogi without prior knowledge by making use of reinforcement...
5 months ago