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

Monte Carlo Tree Search (MCTS) is a popular algorithm used for decision-making in games and planning problems, particularly in artificial intelligence (AI) applications. MCTS is a search algorithm that employs randomness and simulations to make decisions by progressively building a search tree. It has been widely adopted in AI, especially for problems with large state spaces, where traditional search algorithms are computationally expensive or infeasible.

The core idea behind MCTS is to simulate a series of possible future actions and use the results of these simulations to guide the selection of the most promising moves. The algorithm consists of four main steps: Selection, Expansion, ____ ___ _________ _______ _____.
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