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arXiv — cs.AI

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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…

arXiv — cs.AIBy: Zheng Zhang, Liu Liu, Qi Chai, Deheng Ye, Peilin Zhao, Mao Zheng, Hao WangSeptember 25, 2026 (Sep 25)
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  • 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…
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Adversarial Closed-Loop Curriculum for Evolving Role-Playing Agents

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