Proactive Agent Research Environment: Simulating Active Users to Evaluate Proactive Assistants

The paper introduces Proactive Agent Research Environment (Pare) for building and evaluating proactive agents.

Pare models applications as finite state machines to enable stateful user simulation and state-dependent actions.

The authors release Pare-Bench, a 143-task benchmark covering communication, productivity, scheduling, and lifestyle apps.