104:
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188:, but it is now trained by a distributed effort. Members of the computer Go community provide computing resources by running the client, which generates self-play games and rating games, and submits them to a server. The self-play games are used to train newer networks and the rating games to evaluate the networks' relative strengths.
242:
providing position evaluation and policy guidance. Compared to AlphaGo, KataGo introduces many refinements that enable it to learn faster and play more strongly. Notable features of KataGo that are absent in many other Go-playing programs include score estimation; support for small boards, arbitrary
296:
The network has two heads: a policy head and a value head. The policy and value heads are mostly the same as in AlphaGo Zero, but both heads have auxiliary subheads to provide auxiliary loss signal for faster training:
207:
GUI, among others. KataGo is widely used by strong human go players, including the South Korean national team, for training purposes. KataGo is also used as the default analysis engine in the online Go website
446:
After the first training run, training became a distributed project run by volunteers, with increasing network sizes. As of August 2024, it has reached b28c512 (28 blocks, 512 channels).
792:
Wang, Tony Tong; Gleave, Adam; Tseng, Tom; Pelrine, Kellin; Belrose, Nora; Miller, Joseph; Dennis, Michael D.; Duan, Yawen; Pogrebniak, Viktor; Levine, Sergey; Russell, Stuart (2023-07-03).
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research, designed to demonstrate the "surprising failure modes" of AI systems. The researchers were able to trick KataGo into ending the game prematurely.
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While AlphaGo Zero has only game board history as input features (as it was designed as a general architecture for board games, subsequently becoming
173:
program, capable of defeating top-level human players. First released on 27 February 2019, it is developed by David Wu, who also developed the
301:
Policy head: predicts policy for the current player's move this turn, and the opponent player's move in the next turn. A policy Each is a
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2147:
2127:
856:
Tseng, Tom; McLean, Euan; Pelrine, Kellin; Wang, Tony T.; Gleave, Adam (2024-06-18). "Can Go AIs be adversarially robust?".
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specifically for playing Go. These features include liberties, komi parity, pass-alive, and ladders.
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203:. As an alternative, it also implements a custom "analysis engine" protocol, which is used by the
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Value head: predicts game outcome, expected score difference, expected board ownership, etc.
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channels. During its first training run, multiple networks were trained with increasing
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modules added to allow the network to be internally condition on global context such as
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KataGo's first release was trained by David Wu using resources provided by his employer
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677:[A monster 'black hole' appeared in the battlefield of 'AI Go players'].
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which defeated three top human players to win the Arimaa AI Challenge in 2015.
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772:"New Go-playing trick defeats world-class Go AI, but loses to human amateurs"
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and adjust its play and evaluation for the small differences between them.
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651:[With the dominance of AI, is China's Go superiority shrinking?].
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David Wu (27 February 2019). "Accelerating Self-Play
Learning in Go".
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Proceedings of the 40th
International Conference on Machine Learning
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improves defense against adversarial attacks, though not perfectly.
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722:"Considering removing Leela Zero from our supported AI Reviewers"
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The network is described in detail in
Appendix A of the report.
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The trunk is essentially the same as in AlphaGo Zero, but with
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823:"Can AI be superhuman? Flaws in top gaming bot cast doubt"
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274:), the input to the network contains additional
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794:"Adversarial Policies Beat Superhuman Go AIs"
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454:In 2022, KataGo was used as the target for
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439:. It took 19 days using a maximum of 28
720:Anoek (OGS developer) (31 March 2022).
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550:"Accelerating Self-Play Learning in Go"
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744:"Other Methods Implemented in KataGo"
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511:"Designing a Winning Arimaa Program"
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2018:Taiwan Chi Yuan Culture Foundation
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351:The code base switched from using
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874:
251:; and the ability to use various
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770:Benj Edwards (7 November 2022).
673:Hong-ryeol Lee (14 April 2020).
2143:Free software programmed in C++
1971:All Japan Student Go Federation
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263:The network used in KataGo are
2148:Software using the MIT license
2048:Games played with Go equipment
821:Hutson, Matthew (2024-07-08).
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291:Squeeze-and-Excitation Network
63:1.15.3 / 5 August 2024
1:
2128:Free and open-source software
742:David Wu (15 November 2020).
675:"'AI 기사' 격전장에 괴물 '블랙홀'이 등장했다"
572:"KataGo Distributed Training"
548:David Wu (28 February 2019).
467:
330:{\displaystyle 19\times 19+1}
221:
240:convolutional neural network
226:Based on techniques used by
16:Open-source Go (game) engine
7:
2013:Singapore Weiqi Association
1958:International Go Federation
509:Wu, David J. (2015-01-01).
443:GPUs at 4.2 million games.
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265:ResNets with pre-activation
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1725:Long Ode to Watching Weiqi
835:10.1038/d41586-024-02218-7
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2138:Applied machine learning
2003:Mind Sports Organisation
1941:Hong Kong Go Association
1652:Lee's broken ladder game
1530:Nihon Ki-in Hall of Fame
1991:Korea Baduk Association
1953:French Federation of Go
1913:American Go Association
1868:Monte Carlo tree search
1642:The Game of the Century
899:KataGo Training website
593:"KataGo GTP Extensions"
236:Monte Carlo tree search
2008:New Zealand Go Society
1948:European Go Federation
1923:British Go Association
1683:The Girl Who Played Go
1537:Professional handicaps
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527:10.3233/ICG-2015-38104
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401:
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331:
212:, as well as OGS (the
1622:AlphaGo vs. Lee Sedol
800:. PMLR: 35655–35739.
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432:{\displaystyle (b,c)}
402:
382:
332:
289:. This is similar to
283:global pooling layers
65:; 53 days ago
40:; 5 years ago
38:27 February 2019
1963:Irish Go Association
1765:The Surrounding Game
1318:Strategy and tactics
462:Adversarial training
411:
391:
387:residual blocks and
371:
309:
234:, KataGo implements
191:KataGo supports the
168:free and open-source
1863:Future of Go Summit
1791:Computer Go UEC Cup
1632:Blood-vomiting game
1612:AlphaGo vs. Fan Hui
653:Xinmin Evening News
647:金雷 (1 March 2021).
450:Adversarial attacks
367:Let its trunk have
186:Jane Street Capital
21:
2053:Go and mathematics
2034:Benson's algorithm
1996:Myongji University
1637:Ear-reddening game
1617:AlphaGo vs. Ke Jie
1472:Dunhuang Go Manual
649:"AI当道 中国围棋优势缩小了吗？"
456:adversarial attack
429:
397:
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1873:Smart Game Format
1604:Games and matches
1558:Ranks and ratings
400:{\displaystyle c}
380:{\displaystyle b}
359:in version 1.12.
161:
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1752:Sensei's Library
1739:The Master of Go
1647:Kamakura jubango
1627:Atomic bomb game
1520:European players
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193:Go Text Protocol
177:playing program
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1676:The Divine Move
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1577:Honorary titles
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1465:Classic of Arts
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1697:The Go Player
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1690:The Go Master
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97:/lightvector
26:Developer(s)
1981:Nihon Ki-in
1821:Crazy Stone
1594:Tournaments
1546:Competition
1478:Emperor Yao
1208:Monkey jump
1178:Korigatachi
1074:Divine move
552:(blog post)
441:Nvidia V100
253:Go rulesets
171:computer Go
142:MIT License
130:Go software
2123:Go engines
2117:Categories
2070:Capture go
1851:Leela Zero
1826:Darkforest
1732:The MANIAC
1349:Shinfuseki
863:2406.12843
807:2211.00241
777:8 November
755:4 November
727:2 November
705:2 November
684:8 December
658:5 December
577:2 November
556:2 November
495:1902.10565
468:References
353:TensorFlow
243:values of
222:Technology
114:Written in
84:Repository
70:2024-08-05
45:2019-02-27
1816:AlphaZero
1783:Computers
1498:9 Pin Zhi
1488:Four arts
1403:Mirror Go
1343:Kobayashi
1301:Thickness
1016:Clamshell
975:Equipment
953:Handicaps
632:3 January
620:"KaTrain"
604:3 January
535:1389-6911
316:×
287:ko fights
272:AlphaZero
249:handicaps
210:AI Sensei
179:bot_Sharp
2102:Category
2058:Variants
1888:Pandanet
1831:Fine Art
1704:Go World
1509:Oshirogo
1413:Proverbs
945:Overview
843:38977931
363:Training
228:DeepMind
199:such as
30:David Wu
1878:Servers
1801:AlphaGo
1796:Engines
1758:Shibumi
1669:AlphaGo
1583:Jubango
1515:Players
1493:Hoensha
1456:History
1445:Tsumego
1429:Ponnuki
1355:Shusaku
1338:Chinese
1242:Myoushu
1221:Myoushu
1196:Liberty
1157:Kikashi
1079:Double
996:Katsura
357:PyTorch
339:passing
259:Network
238:with a
205:KaTrain
148:Website
137:License
99:/KataGo
68: (
43: (
1987:Korea
1967:Japan
1927:China
1841:KataGo
1836:GNU Go
1438:Tenuki
1393:Ladder
1377:Taisha
1370:Nadare
1363:Jōseki
1332:Fuseki
1295:Tesuji
1264:Sabaki
1253:Pincer
1228:Nakade
1191:Ladder
1185:Kosumi
1136:Kakari
1129:Joseki
1115:Hayago
1101:tenuki
1011:Stones
890:KataGo
885:GitHub
881:KataGo
841:
827:Nature
749:GitHub
625:GitHub
598:GitHub
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247:, and
201:Lizzie
175:Arimaa
164:KataGo
93:github
20:KataGo
2064:Batoo
2027:Other
1893:Tygem
1846:Leela
1746:Ranka
1418:Shape
1388:fight
1284:Shape
1278:Sente
1258:Probe
1235:Nerai
1143:Keima
1097:sente
1056:Atari
1040:Terms
1027:Yunzi
1021:Slate
989:Goban
983:Bowls
965:Rules
858:arXiv
802:arXiv
490:arXiv
303:logit
166:is a
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1068:Dame
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