arXiv paper proposing a synthetic sandbox environment for training machine learning engineering agents. Uses simulation-based methods to develop agents capable of ML engineering tasks without requiring real-world infrastructure.
Research
Synthetic Sandbox for Training Machine Learning Engineering Agents
Researchers propose simulation-based synthetic sandboxes to train ML engineering agents without real infrastructure, reducing deployment friction and enabling faster agent iteration.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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