Agentic In-Context Learning: What Algorithms Can Transformers Learn in Closed-Loop Interaction?

arXiv:2610.23051v1 Announce Type: new Abstract: The learning algorithm view of in-context learning (ICL) studies how fixed-parameter Transformers learn from supplied examples. Language model agents extend this setting through interaction: their actions determi