Maswali yanayounganishwa na mwongozo · Kati Kiwango

Maswali ya Utafutaji wa Mti wa Monte Carlo

Hukagua hatua za marudio za MCTS, uchunguzi wa UCT, uigaji wa uchapishaji, chaguo la kuhamisha mizizi na jinsi AlphaGo ilivyochanganya utafutaji na mitandao.

Njia za mwongozo zinazohusianaUtafutaji wa Mti wa Monte Carlo
Swali 1 ya 8

Je, ni hatua gani kuu nne za marudio ya Utafutaji wa Miti ya Monte Carlo?

Hakiki kila swali8 maswali

Majibu na maelezo huonekana unapojibu maswali.

  1. Je, ni hatua gani kuu nne za marudio ya Utafutaji wa Miti ya Monte Carlo?
    • Uteuzi, Upanuzi, Uigaji, Uenezaji Nyuma
    • Panga, chujio, unganisha, toa
    • Encode, simbua, hudhuria, tabiri
    • Treni, thibitisha, jaribu, peleka
  2. Je, fomula ya uteuzi wa UCT inasawazisha nini?
    • Kasi dhidi ya kumbukumbu
    • Utumiaji wa hatua za thamani ya juu dhidi ya uchunguzi wa zisizotembelewa sana
    • Mafunzo dhidi ya uelekezaji
    • Upana dhidi ya kina cha mtandao
  3. Katika MCTS ya kawaida, nini hufanyika wakati wa hatua ya 'kuiga' (kutolewa)?
    • Mti umefutwa
    • Mtandao wa neva umefunzwa tena
    • Mchezo unachezwa kwa matokeo kutoka kwa nodi mpya
    • Watoto wote hupanuliwa mara moja
  4. What roles did AlphaGo’s policy and value networks play in its MCTS search?
    • The policy network computed transitions and the value network chose the root child
    • Both networks performed random rollouts without evaluating positions
    • The value network proposed legal moves while the policy network estimated terminal rewards
    • The policy network guided move selection and the value network estimated position strength; AlphaGo also used a rollout policy
  5. Baada ya marudio mengi, MCTS huchagua vipi hatua ya mwisho ya kucheza?
    • Mtoto wa mizizi aliyetembelewa zaidi
    • Hatua iliyo na zawadi ya juu zaidi ya haraka
    • Mtoto wa nasibu
    • Nodi ya kina kabisa kwenye mti
  6. Ni nini hufanya MuZero kujulikana ikilinganishwa na AlphaZero?
    • Haitumii mitandao ya neva
    • Inajifunza mfano wake wa mazingira, hivyo inaweza kupanga bila kupewa sheria
    • Inacheza Go tu
    • Inaacha kutafuta miti
  7. In the UCT selection score, what does the exploration term reward?
    • Only the child with the highest raw reward
    • Moves that have already been selected most often, regardless of value
    • Children with fewer visits relative to their parent, encouraging further sampling
    • A random rollout’s final board size
  8. Which MCTS iteration step adds a new child to the existing tree?
    • Selection
    • Simulation
    • Uenezaji wa nyuma
    • Expansion