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MIMESIS: Learning User Simulators as Training Environments for Interactive Agents

Hoang Phan, Dat Huynh, Andrey Zhmoginov وآخرون · 2026

Training and evaluating interactive language agents typically requires rich user interactions, yet collecting human feedback is expensive and difficult to scale. Simulated users offer a scalable alternative, but they must both resemble real user behavior and provide useful learning experiences for agents. In contrast, …

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