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344.021/2/3/57/62/103/104/108/117/118/119/120/W01, UE Artificial Intelligence, Katharina Hoedt / Patricia Hu / Tara Jadidi, 2025W
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Given this game tree, how many (terminal) node checks could we save by using Alpha-Beta pruning instead of Minimax search?
Nodes are checked from left to right (as in the lecture).
What is the highest value a can have, so that alpha beta pruning will cut off the most number of nodes?
The nodes are checked from left to right.
Given this game tree, what is the Minimax-value for the uppermost (root) node?
Given this game tree, what is the Minimax-value for the uppermost (root) node?
The Monte Carlo Tree Search (MCTS) algorithm needs to select the next node to explore from the parent node. The parent node has been visited times. Given the statistics and assuming the exploration constant , calculate the UCT score of node A.UCT-Formula from the lecture slides:
Hint: Use the simple approximation for your calculation.Round your answer to two decimal places.
You are given the following MCTS tree. Assume the algorithm is in the expansion phase. Select the next node based on the highest win rate among leaf nodes. If there is a tie in win rate, choose the leaf node with the highest number of simulations.
What is the highest value a can have, so that alpha beta pruning will cut off the most number of nodes?
The nodes are checked from left to right.
What was the update formula for Q-learning for the practical (programming) exercise?
Given this game tree, let us apply Alpha-Beta pruning.
Nodes are checked from left to right (as was defined in the lecture).
If the value of β at the root node is 3 after searching the subtree of the highlighted MAX node (A21 and A22), what utility value(s) could a have? Select all that apply
Given this game tree, how many (terminal) node checks could we save by using Alpha-Beta pruning instead of Minimax search?
Nodes are checked from left to right (as in the lecture).