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Monte Carlo Tree Search in Go

Monte Carlo Tree Search (MCTS) was born in Computer Go, i.e. in the application of artificial intelligence to the game of Go. Since its creation, in 2006, many improvements have been published. Programs are still by far weaker than the best human players, yet the gap was very significantly reduced. MCTS is now widely applied in games, in particular when no trustable evaluation function is readily available. This chapter reviews the development of current strong Go programs and the most important extensions to MCTS that are used in this game.