Researchers have developed a new method for continuous-time policy evaluation using high-order generator regression. This approach improves upon the traditional Bellman baseline by considering multi-step transitions and estimating the time-dependent generator more accurately. The proposed method offers an interpretable framework with a clear operating region, demonstrating consistent performance gains in various calibration studies. AI
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RANK_REASON Academic paper on a novel statistical method for policy evaluation.
