Agents that reflect on their mistakes in diverse ways solve problems better—and you can teach this diversity by storing reflection patterns as le...
This paper introduces ParamMem, a memory module that helps AI agents think better by learning from past mistakes in diverse ways. Instead of repeating the same reflection patterns, the system stores reflection strategies as model parameters, allowing agents to generate varied self-corrections.