Deep Dive: 0 Train-Infer Mismatch for Open-weight MoE RL
PandaAshwinee · x · 2026-08-18
The article details how to achieve 0 mismatch between the XoRL training engine and SGLang inference engine. In a Wordle task using Qwen3.6-35B-A3B, 0 mismatch training improved the solve rate from 63.9% to 77.4%. It also explores the prerequisites for stable Async RL (0 mismatch, replay, CISPO) and compares against baselines like River and Tinker.
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