Meta Agent Search uses a meta-agent to iteratively program novel agentic systems in code, producing agents that outperform state-of-the-art hand-designed ones across coding, science, and math while transferring across domains and models.
IEEE Transactions on Evolutionary Computation , volume=
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Lamarckian inheritance improves evolutionary robotics performance in dynamic environments unless changes are conflicting and unpredictable; a change-detecting sensor restores benefits.
citing papers explorer
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Automated Design of Agentic Systems
Meta Agent Search uses a meta-agent to iteratively program novel agentic systems in code, producing agents that outperform state-of-the-art hand-designed ones across coding, science, and math while transferring across domains and models.
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Lamarckian Inheritance in Dynamic Environments: How Key Variables Affect Evolutionary Dynamics
Lamarckian inheritance improves evolutionary robotics performance in dynamic environments unless changes are conflicting and unpredictable; a change-detecting sensor restores benefits.