EurekAgent: Agent Environment Engineering for Autonomous Scientific Discovery
arXiv·medium signal
EurekAgent argues that engineering the agent's execution environment — not just the policy — is the key lever for LLM-driven autonomous scientific discovery, given an optimizable metric and a runnable environment. The framing reframes scientific-discovery agents as an environment-design problem, useful for builders constructing eval/optimization loops around tool-using agents.