Subject
Computer Science
Topic
Artificial Intelligence
Which search method, based on random play-outs, was a key part of AlphaGo?
Which search method, based on random play-outs, was a key part of AlphaGo?
a)
Breadth-first searchb)
Monte Carlo tree searchc)
Hill climbingd)
Forward chainingExplanation
MCTS estimates the value of moves by simulating many random games from them.Related questions
In the figure, a complete binary game tree lists terminal values left-to-right as 3,12,8,2,4,6,14,5. If the root is MAX, what is its minimax value?During alpha-beta search, a MIN node obtains a value no greater than current alpha. What is safe?Two move orders examine the same fixed game tree with alpha-beta pruning. What remains unchanged?Which ordering usually improves alpha-beta pruning?With left-to-right alpha-beta search on a full binary tree whose leaves are 8,7,6,5,1,2,3,4, how many leaf evaluations are pruned?With left-to-right alpha-beta search on a full binary tree whose leaves are 4,3,2,1,8,7,6,5, how many leaf evaluations are pruned?A game contains chance events such as dice rolls. Which extension of minimax is appropriate?To which depth can alpha-beta pruning be applied?