Open Source Method Eliminates Train-Inference Mismatch in MoE RL, Boosting Performance
PandaAshwinee · x · 2026-08-18
This post highlights a technical achievement enabling Reinforcement Learning on large Mixture-of-Experts (MoE) models with zero train-inference mismatch. This approach reportedly improves performance, demonstrated by teaching a Qwen3.6-35B-A3B model to play Wordle. The author provides a comparison of methods including R3, Cursor's R3, and Total Router Replay, along with various ablation studies. The entire project is open-source.
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