AlphaGo iyo AlphaZero Kedis

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Waa maxay sababta ciyaarta Go loogu tixgeliyey si gaar ah ugu adag kombuyutarada?
   • Waxay leedahay tiro badan oo cirbixiyeen ah oo boosas suurtagal ah
   • Waxay leedahay dhaqdhaqaaqyo macquul ah oo aad u yar
   • Waxa lagu ciyaaraa kaliya warqad
   • Sharci ma laha
2. Yaa AlphaGo si caan ah uga adkaaday 4-1 2016?
   • Garry Kasparov
   • Lee Sedol
   • Magnus Carlsen
   • Hiwaayad random
3. Which three games did AlphaZero’s paper evaluate?
   • Go, chess, and shogi
   • Poker, bridge, and backgammon
   • Atari, StarCraft, and Dota
   • Only Go and chess
4. Qaabkee raadinta ayay AlphaZero ku lammaanisay shabakadeeda neerfaha?
   • Raadinta binary ee buug taleefoonka
   • Dib u noqoshada toosan
   • Kala soocida xumbo
   • Raadinta Geedka Monte Carlo
5. Waa maxay labada shay ee shabakadda neerfaha ee AlphaZero saadaalisay inay hagto raadinteeda?
   • Siyaasad (dhaqdhaqaaq wanaagsan) iyo qiimo (yaa guulaysanaya)
   • Cimilada iyo waqtiga
   • Qofka ka soo horjeeda magaciisa iyo da'diisa
   • Midabada iyo dhawaaqyada
6. What did MuZero add to the AlphaZero-style planning approach?
   • A requirement for human game records
   • A learned model of reward and environment dynamics used for planning without being given the rules
   • A replacement for all tree search
   • A fixed database of every possible board position
7. What information did AlphaZero need in its board-game experiments besides self-play?
   • A database of professional games
   • A complete endgame table for every position
   • The rules of the games
   • Human rankings for every possible move
8. How did the original AlphaGo system combine supervised and reinforcement learning?
   • It trained a policy from expert games and then improved through self-play
   • It used only random moves and never trained on human games
   • It learned the game rules from images without playing
   • It relied only on a fixed database of winning games