safety security
A Supervisor Learns When Not to Interrupt the Agents
A fast path decides whether execution is drifting; a slower path constructs an intervention only when needed.
Summary
A fast path decides whether execution is drifting; a slower path constructs an intervention only when needed.
Long tool-use and multi-agent runs can gradually move away from the original objective while continuing to spend resources. This steering agent watches execution and separates intervention into two decisions: a low-cost path determines whether drift warrants action, and a higher-cost path decides what corrective instruction to send. Joint reinforcement learning trains both. On information-seeking search tasks, the authors report better performance and efficiency for single- and multi-agent systems, plus transfer to unseen executors and out-of-domain work. The results do not establish reliability in arbitrary production agents, but they make intervention frequency a learned and controllable part of orchestration.
Why it matters
A fast path decides whether execution is drifting; a slower path constructs an intervention only when needed.
Limits and context
- The results do not establish reliability in arbitrary production agents, but they make intervention frequency a learned and controllable part of orchestration.
Key claims
A fast path decides whether execution is drifting; a slower path constructs an intervention only when needed.
Qualification: The results do not establish reliability in arbitrary production agents, but they make intervention frequency a learned and controllable part of orchestration.
Evidence: source-2026-10-18-014
Sources
- arXiv preprint 2610.22316, original v1arXiv · primary research
Corrections
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