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Investigating MCTS modifications in general video game playing
2015
2015 IEEE Conference on Computational Intelligence and Games (CIG)
While Monte Carlo tree search (MCTS) methods have shown promise in a variety of different board games, more complex video games still present significant challenges. Recently, several modifications to the core MCTS algorithm have been proposed with the hope to increase its effectiveness on arcade-style video games. This paper investigates of how well these modifications perform in general video game playing using the general video game AI (GVG-AI) framework and introduces a new MCTS
doi:10.1109/cig.2015.7317937
dblp:conf/cig/FrydenbergART15
fatcat:25txwjyixragrcxvpa3ngezxj4