Explain the archive admission rule for candidate harnesses in Evo-GDPO. Describe the prerequisite condition, the three qualifying improvement pathways, and the outcome when a candidate fails the criterion.
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Prep Sessions
Dynamic Agent Scaffolding: Synthesis, Diagnostic Repair, and Evolutionary Optimization @ University of Michigan - Ann Arbor
Ch.2 Multi-Stage Harness Optimization - Dynamic Agent Scaffolding: Synthesis, Diagnostic Repair, and Evolutionary Optimization @ University of Michigan - Ann Arbor
Stage III: Evolutionary Group-Decoupled Policy Optimization - Dynamic Agent Scaffolding: Synthesis, Diagnostic Repair, and Evolutionary Optimization @ University of Michigan - Ann Arbor
Related
Under the Evo-GDPO archive admission criterion, what happens if a candidate harness achieves strictly lower mean latency and monetary cost than the frontier, but has a task reward where ?
In Evo-GDPO, if a candidate harness fails to provide an admissible Pareto frontier improvement, the archive remains unchanged.
Explain the archive admission rule for candidate harnesses in Evo-GDPO. Describe the prerequisite condition, the three qualifying improvement pathways, and the outcome when a candidate fails the criterion.
Order the procedural steps for determining whether a candidate harness is admitted to archive in Evo-GDPO.
Match each Evo-GDPO harness archive admission concept with its correct operational definition.
Evaluate whether Candidate 1 and Candidate 2 qualify for admission into the harness archive under the Evo-GDPO admission criterion. Provide the admission decision and justification for each candidate.