RESEARCH

Adversarial Closed-Loop Curriculum for Evolving Role-Playing Agents

ArXiv cs.AI · Fri, 25 Sep 2026 04:00:00 GMT

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 begins.

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