<ul><li>Introduction of MLE-Dojo, a Gym-style framework designed for empowering autonomous large language model (LLM) agents in machine learning engineering.</li><li>The framework provides an interactive environment that allows agents to experiment, debug, and refine solutions iteratively through structured feedback loops.</li><li>MLE-Dojo is built upon 200+ real-world Kaggle challenges, covering diverse MLE tasks like data processing, architecture search, hyperparameter tuning, and code debugging.</li><li>It supports comprehensive agent training via supervised fine-tuning and reinforcement learning, aiming to improve iterative experimentation, data sampling, and outcome verification.</li></ul>

MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering

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