Oct 18, 2017 ， The paper introduces AlphaGo Zero, the latest evolution of AlphaGo, the first computer program to defeat a world champion at the ancient Chinese game of Go.
AlphaGo Zero is a version of DeepMind's Go software AlphaGo. AlphaGo's team published an article in the journal Nature on 19 October 2017, ...
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Oct 19, 2017 ， AlphaGo Zero uses a much simpler variant of the asynchronous policy and value MCTS algorithm (APV-MCTS) used in AlphaGo Fan and AlphaGo Lee.
Oct 28, 2017 ， It explains in detail how deep learning and Monte Carlo Tree Search are combined to produce a powerful reinforcement learning algorithm.
Starting tabula rasa, our new program AlphaGo Zero achieved superhuman performance, winning. 100-0 against the previously published, champion-defeating AlphaGo.
Oct 18, 2017 ， DeepMind's Professor David Silver describes AlphaGo Zero, the latest evolution of AlphaGo ...
Duration: 2:14
Posted: Oct 18, 2017
Duration: 2:14
Posted: Oct 18, 2017
AlphaGo Zero is trained by self-play reinforcement learning. It combines a neural network and Monte Carlo Tree Search in an elegant policy iteration framework ...
Oct 18, 2017 ， DeepMind's Professor David Silver describes AlphaGo Zero, the latest evolution of AlphaGo ...
Duration: 2:41
Posted: Oct 18, 2017
Duration: 2:41
Posted: Oct 18, 2017
Dec 6, 2018 ， In Go, AlphaZero defeated AlphaGo Zero, winning 61% of games. However, it was the style in which AlphaZero plays these games that players may ...
Oct 20, 2017 ， AlphaGo Zero uses 4 TPUs, is built entirely out of neural nets with no handcrafted features, doesn't pretrain against expert games or ...