Résumé
Seetug garabu Monte Carlo (MCTS) algorithm buy waajal la buy tànn li gëna baax ci tabax garabu seetlu ak di simule ëlëg yu bari yu mëna xew. Dafa dooleel ay jéego yu am solo yu melni AlphaGo ba noppi gëna xarañ ci jeu yi am position yu bari yuñ mëna am.
Seetug garabu Monte Carlo ab bloku tabax la bu am njeexital ci kalite model bi, njëgu infrastructure bi, yeexal bi, ak wóor ci eskaal bi.
Plongeur bu xóot
MCTS dafay jël yenn dogal yu am solo te du xoolaat bu baax bépp anam bu mëna xew. Dafay baamtu ñeenti jéego yu bari ay junniy yoon: Tanneef (wàcci garab gi nekk jëfandikoo sàrt buy ekilibre jéego yu am njariñ ak yi ñu xamul bu baax), Yaatal (yokk benn node xale bu bees ci xob), Simulation wala 'rollout' (def jeu bi ba ci benn njariñ, ci taarix ak jéego yu bari ak heurick up), lim ak lim seet ci yoon wi). Luñu koy baamtu lu bari, garab gi dafay màgg ci anam wu asimetrik, di bàyyi xelam ci ligne yi gëna am njariñ. Toxu bi ñuy tànn mooy xale bu root bi ñuy gëna faral di dem seeti. Li gëna am solo ci dooleem mooy nekk 'bépp saa' te lu bari ci domen-agnostic: dafay dox ci sàrti jeu bi, di gëna yokk luñuy gëna jëfandikoo ordinatër.
Gis-gis xarala
Jéego tànneef bi dafay faral di jëfandikoo formul UCT (Koolute bu kawe bi ñuy jëfandikoo ci garab yi): tànnal xale bi gëna mag ci valeur moyenne boole ci benn baat buy saytu C * sqrt (ln (N_parent) / n_child). Term bii dafay wàññeeku luñuy gëna dem ci node bi, di yóbbu seetlu bi ci jéego yuñ firndeel, fekk mingi wéy di saytu ñi ñu sàggane. Ci AlphaGo/AlphaZero, reso neuronal yi ñooy wecci génne yi ci anam wu bari: reso bu am valeur mooy xayma dooley position bi, reso bu politik bi di tegtal xale yi ñu wara yaatal.
Seetug garabu Monte Carlo
Seetug garabu Monte Carlo (MCTS) algorithm buy waajal la buy tànn li gëna baax ci tabax garabu seetlu ak di simule ëlëg yu bari yu mëna xew. Dafa dooleel ay jéego yu am solo yu melni AlphaGo ba noppi gëna xarañ ci jeu yi am position yu bari yuñ mëna am. Seetug garabu Monte Carlo ab bloku tabax la bu am njeexital ci kalite model bi, njëgu infrastructure bi, yeexal bi, ak wóor ci eskaal bi. Ngir tabax xam-xam bu xóot, jàppal Monte Carlo Tree Search ni xeetu liggéey, du benn man-man: leeral njariñ yi nga bëgg, leeral xalaat yi, ba noppi tàqale li sistem bi mëna def ci anam wu wóor ak li ba leegi soxla àtteb kàngam.
Ci jëf, ekip yu am doole yiy jëfandikoo Monte Carlo Tree Search dañuy gëna baaxal architecture, done, ak tànneefi infrastructure ci wàllu wóor ak njëg. Dañuy bind kritër yu leer ngir am ndam, natt leen ci done yu dëggu ak def liggéey, ba noppi ñu baamtu ci anamu ñàkka mëna seetlu, du ci benn yoon benchmark wins. Mooy barab bi xam-xam theorie bi di soppiku nekk kàttan buy yàgg ci produit yi, ci politik yi ak ci liggéey yi.
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw. Ci jamano jooju, Optimisation benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi. Xeetu jëf bi gëna dëgër mooy boole gaawaayu jàngat ak disipline nguur: doxal pilote, jàpp firnde, siiwal dogal yi, ak wéy di yeesal kaaraange gi ci anam wi ñuy doxalee, li jëfandikukat bi di xaar, ak sàrti sàrt yi di jëm kanam.
njeextalu pexe
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi. Ci jëfandikoo yu am kalite bu kawe, loolu dañu koy tekki ci sàrti liggéey yuñ mëna natt, ay peggu boroom, ak ay xew-xewu xoolaat yu bari suko defee ekip yi mëna yokk wóolu seen bopp ci barabu yokk lu jaxasoo.
Doxal ci àdduna dëgg
AlphaGo ak AlphaZero mën nañu Go, echec ak shogi ci boole MCTS ak reso neuronal
Motëri jeux général ngir jeux de table yu melni Hex, Othello, ak kolon yu Catan
Waajalug retrosente ci chimie, seet garabi reaction ngir defar ay molecule yuñ bëgga
Yorandi xalaat yu bari wala defar kode ci sistem LLM yu bees yi ci seet ci jéegoy kàndidaa yi
Modèlu jëfandikoo
Seetug garabu Monte Carlo ci jëf
AlphaGo ak AlphaZero mën nañu Go, echec ak shogi ci boole MCTS ak reso neuronal.
AlphaGo ak AlphaZero mastering Go, echec, ak shogi ci boole MCTS ak reso neuronal Teams yi dañuy faral di am njariñ yu gëna baax suñu joxee threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Seetug garabu Monte Carlo ci jëf
Motëri jeu général ngir jeux de table yu melni Hex, Othello, ak Coloniste yu Catan.
Motëri jeux-jeux général ngir jeux de table yu melni Hex, Othello, ak Settlers of Catan Teams dañuy faral di am njariñ yu gëna baax suñu joxee ay threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Seetug garabu Monte Carlo ci jëf
Waajalug retrosente ci chimie, seet garabi reaksioŋ ngir defar molecule yiñ bëgga defar.
Waajalug retrosynthese ci chimie, seetlu garabi reaction ngir synthesize molecules target Teams yi dañuy faral di am njariñ yu gëna baax suñu joxee threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Seetug garabu Monte Carlo ci jëf
Yorandi xalaat yu bari jéego wala defar kode ci sistem LLM yu bees yi ci seet jéegoy kàndidaa yi.
Gëstu xalaat yu bari wala defar kode ci sistem LLM yu bees yi ci seetlu ci kaw jéego kàndidaa yi Ekip yi dañuy faral di am njariñ yu gëna baax suñu joxee threshold yu baax ci kanam, tëye yoonu escalation nit ngir jafe-jafe yi, ba noppi topp njariñu produit ak njëgu njuumte ci diir bi.
Risk yi ak balustrade yi
Optimize benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi.
Njëg li ñuy fay ci infrastructure yi ak ci toppatoo dañuy faral di suufeel.
Bu sistem yi di gëna xawa jafee xam, jafe-jafe yi am ci wàllu kaaraange ak seetlu mën nañu gëna bari.
Roadmap ngir samp gi
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo.
Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Benchmark ci biir sargal ak done yu dëggu.
Benchmark ci biir sargal ak done yu dëggu. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale. Japp jéego bu nekk ni buntu firnde: sudee mattul kritër yi, noppali génne gi, tëj bërëb bi, ba noppi nga yaatal jëfandikoo gi.