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AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces

49 upvotes · 24 AUG 2026 · Sungho Park, Wonjoong Kim, Rongyuan Tan et al.

This paper develops a system to automatically optimize the design of harnesses for LLM agents, which can improve their reliability on long-horizon tasks. Practitioners might care about this because it could lead to more robust and performant agent systems.

reinforcement learningagent-based systemsharness optimizationoffline learningtask robustness