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The paper introduces EurekAgent, an environment-engineered agent system for metric-driven autonomous scientific discovery that achieves state-of-the-art results on math, kernel engineering, and ML tasks with low computational costs.
A comprehensive survey on agentic environment engineering for LLMs, covering environment modeling, synthesis, evaluation, and application, with a focus on agent-environment co-evolution.