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AlphaGo is a computer program that plays the board game Go. [1] It was developed by the London-based DeepMind Technologies, [2] an acquired subsidiary of Google. Subsequent versions of AlphaGo became increasingly powerful, including a version that competed under the name Master. [3]
AlphaGo is an AI system that learned to play Go, a complex board game of strategy and creativity, and defeated a human world champion. It combined deep neural networks with reinforcement learning and invented winning moves that challenged centuries of traditional wisdom.
Jan 27, 2016 · AlphaGo is a machine learning system that combines neural networks and reinforcement learning to play Go, a complex and ancient board game. It has beaten human experts and professionals, and will challenge the world champion Lee Sedol in 2016.
- Demis Hassabis
Mar 13, 2020 · Hundreds of millions of people around the world watched as a legendary Go master took on an unproven AI challenger for the first time in history. Directed by Greg Kohs and with an original score ...
- 90 min
- 35.4M
- Google DeepMind
Explore different opening sequences and find out AlphaGo's estimate of black winning for each move played. Compare AlphaGo's moves with human players' moves and learn how to play Go creatively.
Oct 19, 2017 · Recently, AlphaGo became the first program to defeat a world champion in the game of Go. The tree search in AlphaGo evaluated positions and selected moves using deep neural networks.
Jan 27, 2016 · Using this search algorithm, our program AlphaGo achieved a 99.8% winning rate against other Go programs, and defeated the human European Go champion by 5 games to 0.
