MLToolBench: Learning Tool-Augmented Agents for Machine Learning Development.
arXiv:2609.36679v2 Announce Type: replace Abstract: Machine learning engineering (MLE) agents have made substantial progress, but learning through ML experimentation remains costly in time and computation. Synthetic environments reduce these costs while introd
arXiv cs.AIResearch source·