GRPO (Mixture-of-experts routing): superseded — cited as a baseline and beaten by newer methods. 1 paper(s) critique it, 2 beat it on benchmarks — #48 of 1370 most-superseded. Sub-problem: cluster led by SteerMoE. Newer alternatives in the same sub-problem include PADD, MESA, PR2, RouteHijack, MASCing.

Superseded baseline#48 of 1,370 most-superseded

GRPO

Mixture-of-experts routing

superseded — cited as a baseline and beaten by newer methods

1 papers critique it · 2 beat it on benchmarks

What papers say

Verbatim critique sentences, each from a paper that cites GRPO as a baseline.

“GRPO can suffer from abrupt reward collapse on MoE models.”
— Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts

Beaten on benchmarks

Head-to-head results where a newer method reports beating GRPO. Values are copied from the source paper's tables — verify against the cited paper.

GMPO+RS (RSPO) beats GRPO · Pass@1 [Math]
77.1 vs 71.5
Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts
GMPO+RS (RSPO) beats GRPO · Pass@1 [Code]
85.2 vs 70.7
Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts
MESA beats GRPO · GSM8K [Model: Qwen3-30B-A3B]
96.44 vs 96.36
MESA: Improving MoE Safety Alignment via Decentralized Expertise

Newer alternatives

Recent methods in the same sub-problem, not yet superseded in the knowledge base.