Control Drift in Multi-Task Harness Optimization
Control drift is an optimization defect that emerges when iteratively adapting an agent harness across a heterogeneous benchmark suite. When developers or hyper-agents attempt to resolve failures on individual tasks one at a time, localized rules and checks introduced to fix a specific task can impose unnecessary procedural overhead, over-constrain the model's action space, or inadvertently degrade performance and cause regressions on unrelated tasks across the benchmark.
0
1
Tags
Prep Sessions
Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Ch.3 State Persistence and Continuous Optimization - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Failure-Driven Harness Optimization and Procedural Memory - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Related
Failure-Driven Harness Optimization
Golden Rules for Harness Profile Development
Control Drift in Multi-Task Harness Optimization
Sparse Routing in Shared Agent Runbooks
Multi-Task Harness Abstraction via Hyper-Agent
Procedural Practices in Agent Harnesses
Single-Task Harness Adaptation Loop
Selective Filtering in Harness Learning
Procedural-Memory Gap in Autonomous Agents
Which entities are responsible for proposing targeted modifications to runtime controls after an execution failure?
True or False: Proposed harness modifications take effect immediately in production without requiring review or regression testing against existing tasks.
In failure-driven harness optimization, how are postmortem findings applied to prevent future agent execution failures without retraining or modifying underlying model weights?
Golden Rules for Harness Profile Development
Control Drift in Multi-Task Harness Optimization
Multi-Task Harness Abstraction via Hyper-Agent
Learn After
In multi-task harness optimization, what iterative practice triggers control drift?
Control drift is a defect caused by fine-tuning shifts in the model's underlying neural network weights.
Identify two distinct operational consequences that localized rules and checks inflict on an agent when control drift occurs.
Sparse Routing in Shared Agent Runbooks