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ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments

69 upvotes · 16 SEP 2026 · Hejia Geng, Zesen Huang, Haoyang Li et al.

This paper creates a system called ScienceIDE that converts scientific code into environments that can be used to train artificial agents to perform scientific tasks. Practitioners might care because this could lead to more efficient and effective ways to develop scientific intelligence.

scientific codeagent learningenvironmentsreinforcement learningnatural language processing