ARTIS: Agentic Risk-Aware Test-Time Scaling via Iterative Simulation
ARTIS is a framework that improves agent reliability by decoupling exploration from commitment during test-time scaling. It enables agents to explore multiple simulated action attempts before committing to a real execution. A key innovation is a risk-aware simulator trained on failure data, which focuses on high-impact errors, leading to substantial gains in agent performance across various benchmarks.