Paradoxically, playing suboptimally in simulations sometimes makes a Monte Carlo tree search program play stronger overall.
12.
A popular method for developing GGP AI is the Monte Carlo tree search ( MCTS ) algorithm.
13.
Monte Carlo Tree Search has been used successfully to play games such as Battleship, Havannah, and Arimaa.
14.
The game tree in Monte Carlo tree search grows asymmetrically as the method concentrates on the more promising subtrees.
15.
Treefinder has an efficient tree search algorithm that can infer trees with thousands of species within a short time.
16.
As such, Monte Carlo tree search can be employed in games without a developed theory or in general game playing.
17.
Because the convolutional neural network is computationally taxing, the Monte Carlo tree search focuses computation on the more likely game play trajectories.
18.
On 4 September 2008, Aoba was defeated by Crazy Stone, a Monte-Carlo Tree Search Go playing engine, in an 8-stone handicap game in Tokyo, Japan.
19.
The basic Monte Carlo tree search collects enough information to find the most promising moves only after many rounds; until then its moves are essentially random.
20.
This is from a Public Member Trees search on Ancestry, where the date of death is oddly given as 18 May 2008 ( see discussion ).
