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

> Полный текст доступен на английском

**Published:** 5 октября 2026 г.
**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/ru/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…

> Материал агрегирован из первоисточника: **arXiv — cs.AI**
> [Читать полностью в arXiv — cs.AI](https://arxiv.org/abs/2610.02452)

**Теги:** #arXiv

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