---
title: "Who cites Towards Stable and Effective — 1 citing paper"
description: "1 paper of the Elamur Research library cite «Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/zhang-2026-stable-effective-reinforcement-learning-mixture/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Towards Stable and Effective Reinforcement…](https://md.research.elamur.ai/free/en/papers/zhang-2026-stable-effective-reinforcement-learning-mixture/) / cited by

# Who cites «Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts»

1 paper of our library cites it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts»](https://md.research.elamur.ai/free/en/papers/zhang-2026-stable-effective-reinforcement-learning-mixture/)

1. **[Improved Policy Optimization for Mixture-of-Experts Models: Importance Sampling and Rewarding from an Expert-Centric Perspective](https://md.research.elamur.ai/free/en/papers/qian-2026-improved-policy-optimization-mixture-experts/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yining Qian, Jinpeng Li, Fei Mi, et al.*2026*
- [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2026-stable-effective-reinforcement-learning-mixture/) — Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts