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CodeMidas: scaling coding-agent reinforcement learning environments from code

A post shares a CodeMidas paper focused on using code itself to scale reinforcement learning environments for coding agents.

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Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)T(
2 Sources, 20d ago, first seen 20d ago

TLDR

A post links to the Hugging Face page for “CodeMidas: Scaling Agentic Coding RL Environments from Code Itself.” The paper’s focus is scaling reinforcement learning environments for coding agents using code itself.

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22.7K

2 Sources, first seen 20d ago

171 likes16 comments93 saves13 reposts

Combined views

22.7K

2 Sources, first seen 20d ago

171 likes16 comments93 saves13 reposts

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2 Sources

Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)@teortaxesTexPaper on Xiaomi's RL run's environment development. So far we have unusually detailed knowledge of their RL stack, from the data construction to rollout characteristics to cost. What remains to be seen is what all this amounts to.20d
AK@_akhaliqCodeMidas Scaling Agentic Coding RL Environments from Code Itself paper: https://huggingface.co/papers/2609.2206820d
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    2 Sources

    Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)@teortaxesTexPaper on Xiaomi's RL run's environment development. So far we have unusually detailed knowledge of their RL stack, from the data construction to rollout characteristics to cost. What remains to be seen is what all this amounts to.20d
    AK@_akhaliqCodeMidas Scaling Agentic Coding RL Environments from Code Itself paper: https://huggingface.co/papers/2609.2206820d
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