# Reinforcement Learning Techniques for the Optimization of Target Polarization in Nuclear Physics Scattering Experiments

> 全文为英语

**Published:** 2026年10月5日
**Author:** Armen Kasparian, Torri Jeske, Monibor Rahman, Chris Keith, James Maxwell, Thomas Britton, Malachi Schram, David Lawrence
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/reinforcement-learning-techniques-for-the-optimization-of-target-polariz

The operation of dynamically polarized targets in nuclear physics experiments relies on continuous tuning of the microwave frequency to compensate for radiation damage and evolving material properties, a task that is traditionally performed through manual trial-and-error by…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2610.02452)

**标签：** #arXiv

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