In each tree search method, the AI simulates potential actions and ranks each based on the average highest reward of each path, in terms of points earned.
22.
However, it lacks any sort of tree search and optimality criterion, and so there is no guarantee that the recovered tree is the one that best fits the data.
23.
Monte Carlo tree search has also been used in programs that play other board games ( for example skat, poker, Magic : The Gathering, or Settlers of Catan ).
24.
Another common, and very cheap, heuristic is the killer heuristic, where the last move that caused a beta-cutoff at the same level in the tree search is always examined first.
25.
The STUCCO contrast set learner treats the task of learning from contrast sets as a tree search problem where the root node of the tree is an empty contrast set.
26.
By running the neural network synchronously with the Monte Carlo tree search, it is possible to guarantee that each node is expanded by the moves predicted by the neural network.
27.
Kramnik won games 2 and 3 by " conventional " anti-computer tactics play conservatively for a long-term advantage the computer is not able to see in its game tree search.
28.
Kramnik won games 2 and 3 by " conventional " anti-computer tactics play conservatively for a long-term advantage the computer is not able to see in its game tree search.
29.
A more appropriate analytical procedure would be to use NJ to produce a starting tree, then employ a tree search using an optimality criterion, to ensure that the best tree is recovered.
30.
One way to do this is to first perform a standard binary tree search for the element in question, and then use tree rotations in a specific fashion to bring the element to the top.
