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Merged
Zhiyuan He (hzy46) merged 3 commits into from
Sep 29, 2026
Merged

minor update on docs #609

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1a75657
docs: highlight MoE coding agent results in key features
actions-user Sep 29, 2026
6c9ce33
docs: clarify MoE example announcement
actions-user Sep 29, 2026
97ed6ee
docs: make pure RL the subject of MoE result
actions-user Sep 29, 2026
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -22,7 +22,7 @@
- 🪶 **~3,500 lines of code:** We treat simplicity as the first principle.
- 🧩 **Train with real agent harnesses:** Agents interact with the model through the Agent Lightning v1.0 proxy with **ZERO changes**, while keeping tools, context, control flow, and environments in the loop.
- ☸️ **Native Kubernetes support:** Run agents directly as Kubernetes Jobs without relying on external sandbox services.
- 💻 **Full coding agent training example:** Using only **6K training samples**, an end-to-end Qwen3.5-9B workflow improves SWE-bench Verified from **41.8% to 56.4%**, a gain of **14.6 percentage points**. We release the full pipeline, including data cleaning, reward-hacking prevention, and training scripts.
- 💻 **Full coding agent training example:** Using only **6K training samples**, an end-to-end Qwen3.5-9B workflow improves SWE-bench Verified from **41.8% to 56.4%**, a gain of **14.6 percentage points**. We release the full pipeline, including data cleaning, reward-hacking prevention, and training scripts. **Update:** We release a [new coding agent training example](https://microsoft.github.io/agent-lightning/stable/76-example-coding-agent-moe/) based on Qwen3.5-35B-A3B. Pure RL improves Qwen3.5-35B-A3B on SWE-bench Verified from **47.8% to 61.6%** after only **1.8K training examples**, a gain of **13.8 percentage points**.

## ⚡ Installation

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