TY - GEN
T1 - Investigating MCTS modifications in general video game playing
AU - Frydenberg, Frederik
AU - Andersen, Kasper R.
AU - Risi, Sebastian
AU - Togelius, Julian
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/4
Y1 - 2015/11/4
N2 - 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 modification called UCT reverse penalty that penalizes the MCTS controller for exploring recently visited children. The results of our experiments show that a combination of two MCTS modifications can improve the performance of the vanilla MCTS controller, but the effectiveness of the modifications highly depends on the particular game being played.
AB - 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 modification called UCT reverse penalty that penalizes the MCTS controller for exploring recently visited children. The results of our experiments show that a combination of two MCTS modifications can improve the performance of the vanilla MCTS controller, but the effectiveness of the modifications highly depends on the particular game being played.
UR - http://www.scopus.com/inward/record.url?scp=84964507597&partnerID=8YFLogxK
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U2 - 10.1109/CIG.2015.7317937
DO - 10.1109/CIG.2015.7317937
M3 - Conference contribution
AN - SCOPUS:84964507597
T3 - 2015 IEEE Conference on Computational Intelligence and Games, CIG 2015 - Proceedings
SP - 107
EP - 113
BT - 2015 IEEE Conference on Computational Intelligence and Games, CIG 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE Conference on Computational Intelligence and Games, CIG 2015
Y2 - 31 August 2015 through 2 September 2015
ER -