Memory Reward Inflation in Self-Improving LLM Agents

arXiv:2608.00017v1 Announce Type: new Abstract: Selfimproving LLM agents increasingly learn from experience without updating any weights. Each episode is stored in an external memory, scored, and retrieved for similar future tasks to shape later behavior.