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ENTITY Importance Resampling for Off-policy Prediction

Importance Resampling for Off-policy Prediction

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    Metropolis-Hastings algorithm improves LLM policy composition

    A new research paper introduces a method called Metropolis-Hastings (MH) that improves upon existing techniques for policy composition in large language models (LLMs). This method addresses the issue of sampling bias th…