Agent Plasticity: Measuring Self-Improvement Through Experience
Researchers define agent plasticity to measure how efficiently AI agents improve from experience.
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Researchers define agent plasticity to measure how efficiently AI agents improve from experience.
A local learning interaction unifies data attribution, forgetting, and plasticity loss in continual updates.
SAC study finds early |Q| growth predicts value-divergence flags, while rank collapse stays recoverable.
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