Hark Labs explains agentic RL post-training with SGLang, Miles and Harbor
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Hark Labs explains agentic RL post-training with SGLang, Miles and Harbor
1 article1 sourcesince Nov 6Last article 34m ago ·
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LMSYS Org posts that Hark Labs authors Tianqi Liu and Jackie Yuan explain how SGLang, Miles and Harbor work together for agentic reinforcement learning post-training.
The post is a short announcement linking to the full write-up, titled "Agentic RL Post-Training with SGLang, Miles and Harbor."
Written by AI from the articles below · updated Nov 6, 9:12 PM ET
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Latest developmentNov 6, 9:08 PM ET
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Nov 6
LMSYS Org@lmsysorgOfficialHark Labs explains agentic RL post-training with SGLang, Miles and HarborAIHark Labs authors Tianqi Liu and Jackie Yuan explain how SGLang, Miles and Harbor work together for agentic reinforcement learning post-training. The post is a short announcement that links to the full write-up.

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