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Interested in discovering the game of Go for yourself, but not sure where to start? Two seconds of thinking time was given to each move. You untie yourself from the specifics of the domain you are in to an algorithm which is so general it can be applied anywhere. Unlike the earlier versions of AlphaGo which learnt how to play the game using thousands of human amateur and professional games, AlphaGo Zero learnt to play the game of Go simply by playing games against itself, starting from completely random play. How did DeepMind train neural networks to do this? All 60 games except one were fast-paced games with three 20 or 30 seconds byo-yomi. AlphaGo Zero skips this step and learns to play simply by playing games against itself, starting from completely random play.

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It uses one neural network rather than two. Many quickly suspected it to be an AI player due to little or no resting between games. Suppose we have a neural network that is reading the board and determining that a given move results in a game being even, with an evaluation of 0. In almost all applications, neural networks output a single, fixed output — such as the probability of an image containing a dog, or a vector containing the probabilities of an image containing one of 10 types of objects. In doing so, it surpassed the performance of all previous versions, including those which beat the World Go Champions Lee Sedol and Ke Jie, becoming arguably the strongest Go player of all time. AlphaGo's victory in Seoul, South Korea, in March was watched by over million people worldwide. AlphaGo then continued to achieve a fourth win, winning the fifth game by resignation. Instead it learned the best moves over time, simply by playing millions of games against itself. The two neural networks at the core of AlphaGo. However, for some problems this human knowledge may be too expensive, too unreliable or simply unavailable. Learning from scratch Artificial intelligence research has made rapid progress in a wide variety of domains from speech recognition and image classification to genomics and drug discovery. This updated neural network is then recombined with the search algorithm to create a new, stronger version of AlphaGo Zero, and the process begins again. In the course of winning, AlphaGo somehow taught the world completely new knowledge about perhaps the most studied and contemplated game in history. AlphaGo then went on to compete against legendary player Mr Lee Sedol, winner of 18 world titles and widely considered to be the greatest player of the past decade. Two seconds of thinking time was given to each move. All 60 games except one were fast-paced games with three 20 or 30 seconds byo-yomi. Google DeepMind amazed the world last year when its AI programme AlphaGo beat world champion Lee Sedol at Go, an ancient and complex game of strategy and intuition which many believed could never be cracked by a machine. This can be thought of as using a single top level professional to advise the system on its next move, rather than taking a crowdsourced answer from hundreds of amateur players. You untie yourself from the specifics of the domain you are in to an algorithm which is so general it can be applied anywhere. So, also as before, our agent—using its MCTS-improved evaluations and the current state of its neural network — could play games against itself, winning some and losing others. But it is the algorithmic change that makes the system much more powerful and efficient. DeepMind co-founder and CEO Demis Hassabis said the programme was so powerful because it was "no longer constrained by the limits of human knowledge". Highlights from our work in The story of AlphaGo so far AlphaGo is the first computer program to defeat a professional human Go player, the first program to defeat a Go world champion, and arguably the strongest Go player in history. Since then, AlphaGo has continued to surprise and amaze. AlphaGo Zero only uses the black and white stones from the Go board as its input, whereas previous versions of AlphaGo included a small number of hand-engineered features.

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Google's AI AlphaGo Is Beating Humanity At Its Own Games (HBO)





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Zolokus

08.07.2018 at 10:12 pm
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It changed its account name to "Master" on 30 December, then moved to the FoxGo server on 1 January

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