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- ...e-url=https://web.archive.org/web/20171019220157/https://deepmind.com/blog/alphago-zero-learning-scratch/|url-status=dead}}</ref> ...//web.archive.org/web/20171020080244/http://www.zdnet.com/article/deepmind-alphago-zero-learns-on-its-own-without-meatbag-intervention/|url-status=live}}</ref ...23 KB (2,941 words) - 00:53, 30 November 2024
- == AlphaGO and Monte carlo tree search == # AlphaZero: Generalized the MCTS approach used in AlphaGo to master multiple games (chess, shogi, and Go) without human knowledge2. ...8 KB (1,085 words) - 10:47, 12 October 2024
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- == AlphaGO and Monte carlo tree search == # AlphaZero: Generalized the MCTS approach used in AlphaGo to master multiple games (chess, shogi, and Go) without human knowledge2. ...8 KB (1,085 words) - 10:47, 12 October 2024
- ...e-url=https://web.archive.org/web/20171019220157/https://deepmind.com/blog/alphago-zero-learning-scratch/|url-status=dead}}</ref> ...//web.archive.org/web/20171020080244/http://www.zdnet.com/article/deepmind-alphago-zero-learns-on-its-own-without-meatbag-intervention/|url-status=live}}</ref ...23 KB (2,941 words) - 00:53, 30 November 2024
- ...ive-date=April 9, 2018|title=Feature: One man's Go program looks to remake AlphaGo Zero - and beyond|publisher=[[Xinhuanet]]|date=9 April 2018|access-date=28 Leela Zero's algorithm is based on [[DeepMind]]'s 2017 paper about [[AlphaGo Zero]].<ref name="Xinhuanet20180408"/><ref name=":0">{{cite web|url=https:/ ...10 KB (1,434 words) - 07:56, 8 January 2025
- ...l network]] providing position evaluation and policy guidance. Compared to AlphaGo, KataGo introduces many refinements that enable it to learn faster and play While AlphaGo Zero has only game board history as input features (as it was designed as a ...9 KB (1,285 words) - 04:05, 26 September 2024
- ...l human player at the 2016 [[Computer Go UEC Cup|UEC cup]]. [[Google]]'s [[AlphaGo]] program won against a professional player in October 2015 using a similar ...s Zen, DolBaram and [[Crazy Stone (software)|Crazy Stone]] but lags behind AlphaGo.<ref>{{Cite journal|title = Mastering the game of Go with deep neural netwo ...13 KB (1,827 words) - 13:43, 25 November 2024
- MCTS was combined with neural networks in 2016<ref name="alphago">{{Cite journal|title = Mastering the game of Go with deep neural networks .../article/google-alphago-ai-clean-sweeps-european-go-champion/|title=Google AlphaGo AI clean sweeps European Go champion|date=28 January 2016|website=ZDNet}}</ ...38 KB (5,637 words) - 08:40, 30 December 2024
- ...ode=2016Natur.529..484S |issn=1476-4687}}</ref>{{Pg|location=Fig 4}} For [[AlphaGo Zero]], increasing Elo by 120 requires either 2x model size and training, o ...44 KB (6,432 words) - 22:52, 25 February 2025
- ...enerative pre-trained transformer|GPT]] models such as [[ChatGPT]]), the [[AlphaGo Zero]] system, the [[AlphaStar (software)|AlphaStar]] system, and the [[Alp ...27 KB (3,719 words) - 00:15, 26 February 2025
- ...ent learning reached another milestone in 2015 when [[AlphaGo]],<ref name="AlphaGo"/> a computer program trained with deep RL to play [[Go (game)|Go]], became <ref name="AlphaGo">{{Cite journal|title = Mastering the game of Go with deep neural networks ...27 KB (3,772 words) - 14:36, 28 June 2024
- ...16/S0004-3702(01)00129-1 |issn=0004-3702 |publisher=Elsevier}}</ref> and [[AlphaGo]] projects demonstrate how to optimize the performance of agents in pure co ...29 KB (3,808 words) - 04:39, 30 December 2024
- ...he time.<ref>{{cite web |url=https://www.deepmind.com/alpha-go.html |title=AlphaGo – Google DeepMind |access-date=30 January 2016 |archive-url=https://web.arc ...138 KB (19,374 words) - 22:31, 20 February 2025
- ...tps://web.archive.org/web/20180617065807/https://techcrunch.com/2017/05/24/alphago-beats-planets-best-human-go-player-ke-jie/amp/ |url-status=live }}</ref> ...o games using only pixels as data input. In 2015 they demonstrated their [[AlphaGo]] system, which learned the game of [[Go (game)|Go]] well enough to beat a ...180 KB (23,460 words) - 20:17, 27 February 2025