Agent Plasticity: Measuring Self-Improvement Through Experience

AI agents increasingly operate in environments where they can diagnose failures and improve through experience, yet existing evaluations largely measure what an agent can do at a fixed point in time rather than how effectively it learns. Evaluating self-improvement requires…

Harman Singh, Anton Bakhtin, Rulin Shao, Gabriel Synnaeve, Ilia Kulikov, Rob Fergus, Sanjeev Arora, Kurt Keutzer, Jason Weston, Anuj Mahajan, Anirudh Goyal·arXiv — cs.AI

Original Source

Key Takeaways

01.AI agents increasingly operate in environments where they can diagnose failures and improve through experience, yet existing evaluations largely measure what an agent can do at a fixed point in time rather than how effectively it learns
02.Evaluating self-improvement requires…

This material is provided as an extended analytical summary.

Read full article at source

Aggregated within AI Qazaqstan national intelligence stream with author attribution.