Randomized decision-making refers to the process of incorporating randomness into the decision-making process, often to improve efficiency or outcomes in uncertain situations. This approach allows algorithms to make choices based on random sampling, which can lead to faster solutions and better performance in scenarios where deterministic methods may struggle. It is particularly useful in contexts where the solution space is large or complex, enabling more adaptive and flexible responses.
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