What do you understand by Monte Carlo Tree Search? Explain.

Monte Carlo Tree Search (MCTS) is a powerful and widely used algorithm in the field of artificial intelligence, particularly in the domain of decision-making and game playing. It has gained significant attention due to its success in various applications, including game-playing engines like AlphaGo and AlphaZero. At its core, MCTS is a search algorithm designed to find optimal decisions in complex decision-making scenarios, especially in environments with large branching factors and uncertainty.

To understand Monte Carlo Tree Search, let's break down its components and how it operates:

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