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Notes on agent optimization
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Do Agent Optimizers Compound? A Continual-Learning Evaluation on Terminal-Bench 2.0
The research evaluates if improvements from agent-optimization methods can stack up over time in a continual learning setting. Three optimizer-driven methods (GEPA, Meta Harness, and RELAI's Verifiable Continual…
Do Agent Optimizers Compound? A Continual-Learning Evaluation on Terminal-Bench 2.0
Researchers investigated if improvements made by agent-optimization methods persist when agents are optimized again on new tasks. They found that one method called RELAI-VCL was the only one that both transferred…
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