作者: S. Ali Mirsoleimani , Aske Plaat , Jaap van den Herik
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摘要: Recent results have shown that the MCTS algorithm (a new, adaptive, randomized optimization algorithm) is effective in a remarkably diverse set of applications Artificial Intelligence, Operations Research, and High Energy Physics. can find good solutions without domain dependent heuristics, using UCT formula to balance exploitation exploration. It has been suggested optimum exploitation- exploration differs for different search tree sizes: small trees needs more exploitation; large need Small occur variations MCTS, such as parallel ensemble approaches. This paper investigates possibility improving performance Ensemble by increasing level exploitation. As becomes smaller we achieve an improved performance. The are important scale parallelism MCTS.