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Shanghai Jiao Tong University
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Larger momentum coefficients ($β$) are crucial for preserving optimization gains in LLM post-training with noisy rewards, outperforming conventional choices and boosting accuracy by nearly 2% on large models.
Howard's policy iteration for deterministic MDPs is not strongly polynomial, exhibiting an exponential iteration complexity that separates it from the simplex method.