# Adversarial Closed-Loop Curriculum for Evolving Role-Playing Agents

> Полный текст доступен на английском

**Published:** 25 сентября 2026 г.
**Author:** Zheng Zhang, Liu Liu, Qi Chai, Deheng Ye, Peilin Zhao, Mao Zheng, Hao Wang
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/ru/articles/adversarial-closed-loop-curriculum-for-evolving-role-playing-agents

arXiv:2609.28609v1 Announce Type: new Abstract: Role-playing agents based on large language models have been widely applied in areas such as personalized assistance and social simulation. Recent RL methods typically train on a fixed scenario pool collected before learning…

> Материал агрегирован из первоисточника: **arXiv — cs.AI**
> [Читать полностью в arXiv — cs.AI](https://arxiv.org/abs/2609.28609)

**Теги:** #arXiv

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