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Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network Programming

A new framework for Genetic Network Programming aims to improve agentic AI by balancing exploration and exploitation within graph-based decision structures.

Impact
15/100
Current rank score
9.99
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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