Research· AI-written
Harness scaling for generalizable agentic reinforcement learning
This paper introduces Harness Scaling, a method that expands reinforcement learning across diverse execution configurations to improve artificial intelligence agent generalization. The authors show that training across a structured space of harnesses helps models perform better on unseen configurations.
Oct 23, 2026 · 2 min read