MIMESIS: Learning User Simulators as Training Environments for Interactive Agents
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,...
Hoang Phan, Dat Huynh, A. Zhmoginov et al.
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