Late Move Reductions (LMR) is a technique used in computer chess and other game-playing AI to optimize the search process in game trees. The idea behind LMR is to skip certain moves that are unlikely to change the outcome of the search based on previous evaluations, thus allowing the algorithm to focus its computational resources on more promising moves.
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