AIBullisharXiv – CS AI · Mar 66/10
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EvoTool: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection
Researchers propose EvoTool, a new framework that optimizes AI agent tool-use policies through evolutionary algorithms rather than traditional gradient-based methods. The system decomposes agent policies into four modules and uses blame attribution and targeted mutations to improve performance, showing over 5-point improvements on benchmarks.
🧠 GPT-4