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Adding memory to search instead of sampling in reward maximization tasks [R]

I am one of the authors of FLEET - an algorithm that enhances Best-of-N generation by attributing external rewards to particular tokens and then uses MCTS to adjust logits during the next run. I find it rather funny that most of the tasks where repetitive sampling is widely used are based on reward…

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  1. 2026-10-02 12:04 · r/MachineLearning
    Adding memory to search instead of sampling in reward maximization tasks [R]

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