AlfaGo ak AlfaZero
AlphaGo mooy prograamu DeepMind bi raw joueur Go yi gëna mag ci àdduna bi, muy jéego bu am solo buñu yàgga xalaat fukki at ci ginaaw.
Résumé
AlphaZero then mastered Go, chess, and shogi entirely through self-play, learning superhuman skill from scratch.
Plongeur bu xóot
Go amna position board yu gëna bari yu mëna am ci atom yi ci univers bi ñuy seetlu, moo tax seetlu brute-force amul benn yaakaar ak intuition lu am solo. Ci atum 2016, AlphaGo moo daanele champion Lee Sedol 4-1, ak 'Move 37' bu siiw bi, di ay kàngam yu yéeme ci sos mbir yu dul nit. AlphaGo jàngee ci jeu expert nit ñi boole ci jeu sa bopp. Ci 2017, AlphaZero demoon na gëna sori: tàmbalee ci sàrt yi kese te amul benn done bu nit, jàngal boppam ci jouer ay milioŋ ciy jeu ci boppam, raw prograam yi gëna baax ci Go, chess, ak shogi ci ay waxtu wala ay fan. Benn sistem bu mujj, MuZero, jàng na sàrti jeu yi ci boppam. Jaar-jaar yooyu dañu wane ni njàngum dooleel ak seet mënee gis pexe yu weesu xam-xamu doomi aadama yi.
Gis-gis xarala
AlphaZero dafa boole reso neuronal bu xóot ak Seetug garabu Monte Carlo (MCTS). Reseau bi dafay genne benn politik (buy dem nuru lu am njariñ) ak benn valeur (ku mëna am ndam), di tegtal seetlu bi ngir banneexu ci ligne yi gëna am solo ci barabu bépp bànxaas. Ci njàngum dooleel sa bopp, li reso bi di wax luy waaja am ak njariñu seetlu yi dañuy dooleel seen biir, di gëna yokk. Amul benn fowokaayu nit wala fonction evaluation buñ defaree loxo, sàrt yi ak neexal bi ñuy jox ñiy jël ndam li kese lañu soxla.
njeextalu pexe
Pexem jaaykat
Kartu yoonu jaaykat yi ñooy wane man-man yi sa ekip mëna tabax ci kanam.
Njëgg ak budget
Anamu jënd ak jaay ak tànneefi dugal dañu am njeexital ci njëg ak risk ci diir bu xawa yàgg.
Risk ak kaaraange
Li liggéeyukaay bi di ñaax mooy tëral ni produit bi di doxee, kaaraange gi ak ubbeeku gi.
Ëlëgu AlphaGo ak AlphaZero
Reset bu AlphaZero, di jàng ci fo sa bopp di tegtal ci seetlu, leegi mingi am njeexital ci robotik, gis-gis gëstukat, ak xalaat ci làkk wu yaatu, fu model yi di 'seet' ci kaw jéego yu am solo. Doomi MuZero ak AlphaProof dañu jëfandikoo xalaat yooyu ci waajal te kenn xamul sàrt yi ak ci math. Xaarandil fowokaay sa bopp ak seetlu garab ngir wéyal sistem yu am doole yi wara waajal, pexe, ak gis pexe yu bees, di gëna boole ak pexe xalaat yu feeñ leegi ci xeetu juntuwaay yu bees yi.
Doxal ci àdduna dëgg
Lee Sedol (2016) ak Ke Jie (2017) ci jongante yu am solo
AlphaZero mingi jàngal boppam echec ci ay waxtu, di wane ubbite bu bees ak xalaati sacrifice yu grandmasters yi jàngat
MuZero mën na jouer Go, jeu echec, shogi ak Atari te kenn waxu ko sàrt yi
Fowukaay sa bopp ak pexem seetlu yu am solo yi ñuy jëfandikoo leegi ci robotik, math (AlphaProof), ak xalaat LLM
Risk yi ak balustrade yi
Koom-koomu ubbite mën na raw stabilite ci def liggéeyu defar dëgg.
Njëg yi ci API wala coppite ci sàrt yi mën nañu dindi xalaat yi ci guddi gi.
Dependence ci benn jaaykat dafay yokk njëgu tëjug ak migraasioŋ.
Roadmap ngir samp gi
Saytu sa fournisseur yi nga jëfandikoo sa liggéey ak say done.
Xoolaat mbir yu nëbbu, kaaraange ak sàrti yoon balaa ngay boole.
Fexe am palaŋu fallback ci model yi wala jaaykat yi.
Xool notu génne yi suko defee coppite yi ci kàrtu yoon du jaaxal ekip yi.
Weyal di banneexu
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Gis bi ci topp
Modèle Zhipu GLM
Laaj yi ñuy faral di laaj
What is AlphaGo and AlphaZero?
AlphaGo mooy prograamu DeepMind bi raw joueur Go yi gëna mag ci àdduna bi, muy jéego bu am solo buñu yàgga xalaat fukki at ci ginaaw. AlphaZero dafa jàng Go, echec, ak shogi ci fo boppam, jàng mën-mën yu ëpp nit ci noonu rek.
Lu tax ñu jàpp ni jeu Go lu jafe la ci ordinatër yi?
Facteur branching bu rëy bi Go def mooy seetlu brute-force bi mënul am, kon ngir am ndam fàww nga am intuition bu jàng.
Kan moo AlphaGo daanele 4-1 ci 2016?
AlphaGo moo dóór Lee Sedol mi jiite Go ci 4-1 ci benn match bu ñu bari seetaan ci 2016.
naka la AlphaZero jàngee fo, wuute ak AlphaGo?
AlphaZero mingi tàmbalee ci sàrt yi, jàng rek ci jouer ak boppam, te amul ay done yu nit ñi.
Ban xeetu seet la AlphaZero di boole ak reso neuronal bi?
AlphaZero dafay jëfandikoo Seetug garabu Monte Carlo buñu teg ci sàrti reso neuronal ak xayma valeur yi.
Lan mooy ñaari mbir yi reso neuronal bu AlphaZero di wax ni ñooy jiite seetlu bi?
Sorti yi reso bi di toxal dañu nuru lu am njariñ (politik) ak xayma ci kiy jël ndam li (valeur), di fokalise seetlu bi.