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We revisit Monte-Carlo Tree Search on a recent game, termed NoGo. Our goal is to check if known results in Computer-Go and various other games are general enough for being applied directly on a new game. We also test if the known limitations of Monte-Carlo Tree Search also hold in this case and which improvements of Monte-Carlo Tree Search are necessary for good performance and which have a minor effect. We also tested a generic Monte-Carlo simulator, designed for "no more moves" games.

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