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 begins. This creates a dis…
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- 2026-09-25 04:00 · arXiv cs.AI
Adversarial Closed-Loop Curriculum for Evolving Role-Playing Agents