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Decommissioned AlphaGo backend rack. Go is considered much more difficult for computers to win than other games such as chess, because its strategic and aesthetic nature makes it hard to directly construct an evaluation function, and its much larger branching factor makes it prohibitively difficult to use traditional AI methods such as alpha–beta pruning, tree traversal and heuristic search.
AlphaGo's techniques are probably less useful in domains that are difficult to simulate, such as learning how to drive a car. [17] DeepMind stated in October 2017 that it had already started active work on attempting to use AlphaGo Zero technology for protein folding, and stated it would soon publish new findings. [18] [19]
AlphaGo won the final match two days later. [27] [28] With this victory, AlphaGo became the first program to beat a 9 dan human professional in a game without handicaps on a full-sized board. In May 2017, AlphaGo beat Ke Jie, who at the time was ranked top in the world, [29] [30] in a three-game match during the Future of Go Summit. [31]
The 2022 release of Grand Theft Auto V for the ninth generation of video game consoles introduced several enhancements, incorporating features from later RAGE titles. Raytraced reflections, native 4K resolution on the PlayStation 5 and Xbox Series X, upscaled 4K on the Xbox Series S, as well as HDR support were added.
AlphaZero (AZ) is a more generalized variant of the AlphaGo Zero (AGZ) algorithm, and is able to play shogi and chess as well as Go. Differences between AZ and AGZ include: [2] AZ has hard-coded rules for setting search hyperparameters. The neural network is now updated continually. AZ doesn't use symmetries, unlike AGZ.
Leela Zero is an (almost) exact replication of AlphaGo Zero in both training process and architecture. [13] The training process is Monte-Carlo Tree Search with self-play, exactly the same as AlphaGo Zero. The architecture is the same as AlphaGo Zero (with one difference). Consider the last released model, 0e9ea880.
Master is a version of DeepMind's Go software AlphaGo, named after the account name (originally Magister/Magist) used online, which won 60 straight online games against human professional Go players from 29 December 2016 to 4 January 2017.
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