explorationParameter

When you call the bestMoveForActivePlayer() method, the Monte Carlo strategist performs an iterative process of randomly choosing moves, searching for a sequence of moves that ends in a win for the current player. At each step in this process, the strategist chooses whether to try a different move or to continue examining the current sequence of moves.

Higher values favor exploration—that is, the strategist becomes more likely to try different moves on each turn. Lower values favor exploitation—that is, the strategist becomes more likely to follow a sequence of moves to a possible endgame. The default value of 4 tends to balance exploration and exploitation. For best results, experiment with different values to find one that provides a style and difficulty of gameplay you prefer for your game.