October 10, 2025Open Access

MedAgentGym: A Scalable Agentic Training Environment for Code-Centric Reasoning in Biomedical Data Science

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Interactive training environment enhances coding-based reasoning in LLM agents, highlighting performance disparities in biomedical data science.

MedAgentGym boosts performance in biomedical data science tasks by enhancing coding-based reasoning skills.
Tasks within the environment cover 12 real-world scenarios, leading to improved benchmarking of 29 LLMs.
Leveraging reinforcement learning, Med-Copilot shows marked performance gains of 43.02% and 45.28% in different training modes.
The environment provides a cost-effective and privacy-preserving alternative to proprietary LLMs while integrating comprehensive training resources.

Xu et al. (2025) studied this question.

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October 10, 2025Open Access

View Full Paper

Ask AI

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Authors

Interactive training environment enhances coding-based reasoning in LLM agents, highlighting performance disparities in biomedical data science.

MedAgentGym boosts performance in biomedical data science tasks by enhancing coding-based reasoning skills.
Tasks within the environment cover 12 real-world scenarios, leading to improved benchmarking of 29 LLMs.
Leveraging reinforcement learning, Med-Copilot shows marked performance gains of 43.02% and 45.28% in different training modes.
The environment provides a cost-effective and privacy-preserving alternative to proprietary LLMs while integrating comprehensive training resources.

Xu et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark