From Player to Master: Enhancing Test-Time Learning of LLM Agents via Reinforcement Learning over Memory

Yishuo Cai, Xingyu Guo, Xuancheng Huang +8

Large language model (LLM) agents are increasingly deployed in long-running settings where improving through experience at test time becomes important. A common approach is to upda…