2026-10-11 17:10 UTC

agent-self-improvement

band: coolmomentum: stable score: 0.312
temperature history

Episodes (2)

PILOTโ€™s authors claim their within-run self-improvement mechanism materially improves long-running agent performance without prohibitive overhead, potentially enabling agents to adapt during a task rather than only between deployments.
watchingconvergesscott: high
The infini-ai-lab authors claim their released ServeLearnBench shows agents can self-improve from accumulated serving experience โ€” with exploration breadth predicting hidden-reward learning across five harnesses (ฯ = 1.00 on Retail/Banking serving settings) โ€” and adoption by evaluators or serving teams would make learning-from-serving a tracked agent capability, while an unadopted project page closes it.
seedconvergesscott: high