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When Does Muon Help Agentic Reinforcement Learning?

13 upvotes · 17 JUL 2026 · Kai Ruan, Jinghao Lin, Zihe Huang et al.

This paper investigates the use of the Muon optimizer in reinforcement learning (RL) post-training and finds that it can significantly improve the success rate of RL agents, especially when combined with other techniques like policy optimization and advantage estimation. Practitioners in RL may care about this research to explore new ways to improve the performance of their agents.

reinforcement learningMuon optimizerpolicy optimizationadvantage estimationgridworld environments