Can AI Scientist Agents Learn from Lab-in-the-Loop Feedback? Evidence from Iterative Perturbation Discovery
Can AI Scientist Agents Learn from Lab-in-the-Loop Feedback? Evidence from Iterative Perturbation Discovery explores AI agents can significantly improve scientific discovery by learning from experimental feedback, with performance scaling with model capability.. Commercial viability score: 4/10 in Scientific Discovery Agents.
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