What AI says about MLE-Dojo

MLE-Dojo is a Gym-style framework for systematically reinforcement learning, evaluating, and improving autonomous LLM agents within machine learning engineering (MLE) workflows. It draws on 200+ real-world Kaggle challenges to cover open-ended MLE tasks such as data processing, architecture search, hyperparameter tuning, and code debugging. The environment is fully executable with a flexible interface that enables training agents via supervised fine-tuning and reinforcement learning, supporting iterative experimentation and real-time outcome verification.