The Path to Recursive Self-Improving Agents: Foundation, Framework, and Future Directions

Abstract excerpt

Agent systems based on foundation models have advanced rapidly and can now accomplish increasingly complex tasks with greater autonomy. However, manually developing and refining agent systems requires substantial human effort and time, motivating a shift toward agent systems that can improve themselves. In this survey, we study self-improving agent systems that autonomously transform experience and evaluation feed...

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Literature Corpus work

f82fdba6-1444-5e76-a037-7fc8e0f36370

DOI

10.20944/preprints202608.0051.v1