Researchers Teach Agents to Learn By Themselves
Techstrong.ai, Monday, April 13th, 2026
Human memory is a living, evolving thing, always soaking up new information and testing it against reality. AI agents, should they wish to mimic human learning, will need to do the same.
Today, LLMs are largely fixed as frozen models. Updating them with new information, via backpropagation, is expensive. And any new information that an agent learns along the way is lost when the session ends.
A group of 17 researchers, from multiple universities, have created an agent framework, called Memento-Skills, to run agents that learn new skills as they run, through experience.
Such an agent-designing agent 'autonomously constructs, adapts, and improves task-specific agents through experience,' according to the paper, which the researchers plan to present at the International Conference on Machine Learning (ICML) 2026 in July.