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  • 【论文解读】AlphaZero：通用的棋类RL算法 - 知乎
    在日本将棋中，AlphaZero在1000局比赛中，胜率超过90%。 在围棋中，AlphaZero在与AlphaGo Zero的对战中，胜率超过60%。 AlphaZero在搜索空间 (search space) 远小于对手的情况下，依然取得了优异的表现，这表明AlphaZero能够更有效地利用计算资源，更具「人类」的搜索方式
  • AlphaZero - Wikipedia
    AlphaZero is a computer program developed by artificial intelligence research company DeepMind to master the games of chess, shogi and go This algorithm uses an approach similar to AlphaGo Zero
  • AlphaZero - Chess Engines - Chess. com
    What Is AlphaZero? AlphaZero was developed by the artificial intelligence and research company DeepMind, which was acquired by Google It is a computer program that reached a virtually unthinkable level of play using only reinforcement learning and self-play in order to train its neural networks
  • AlphaZero: Shedding new light on chess, shogi, and Go
    In late 2017 we introduced AlphaZero, a single system that taught itself from scratch how to master the games of chess, shogi (Japanese chess), and Go, beating a world-champion program in each case
  • [1712. 01815] Mastering Chess and Shogi by Self-Play with a General . . .
    Starting from random play, and given no domain knowledge except the game rules, AlphaZero achieved within 24 hours a superhuman level of play in the games of chess and shogi (Japanese chess) as well as Go, and convincingly defeated a world-champion program in each case
  • A general reinforcement learning algorithm that masters chess, shogi . . .
    Silver et al developed a program called AlphaZero, which taught itself to play Go, chess, and shogi (a Japanese version of chess) (see the Editorial, and the Perspective by Campbell) AlphaZero managed to beat state-of-the-art programs specializing in these three games
  • AlphaZero - 维基百科，自由的百科全书 - zh. wikipedia. org
    AlphaZero 是 DeepMind 所开发的人工智能软体 [1]。 AlphaZero使用与 AlphaGo Zero 类似但更一般性的演算法，在不做太多改变的前提下，并将演算法从 围棋 延伸到 将棋 与 国际象棋 上。 AlphaZero与AlphaGo Zero不同之处在于 [1]： AlphaZero的 超参数 是写死的。 AlphaZero现在会不断更新 人工神经网络。 围棋 在某些情况是对称或是可旋转的，AlphaGo Zero的程式利用这个特性降低计算复杂性，AlphaZero因为延伸到将棋与国际象棋则拿掉了这段程式。 ，所以AlphaZero利用这个终局资料库纳入计算。
  • AlphaZero Documentation — AlphaZero 0. 1 documentation
    AlphaZero is a replication of Mastering the game of Go without human knowledge and Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
  • AlphaZero Chess: how it works, what sets it apart, and what it can tell . . .
    In short, AlphaZero is a game-playing program that, through a combination of self-play and neural network reinforcement learning (more on that later), is able to learn to play games such as chess and Go from scratch ─ that is, after being fed nothing more than the rules of said games





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