Encyclopedia · 311 concepts
Learn this concept as a feed

Reinforcement Learning · advanced · concept 189 of 311 · Updated Nov 4, 2026

GRPO (Group Relative Policy Optimization)

A reinforcement learning algorithm that simplifies PPO by dropping the value network: it samples a group of responses per prompt and scores each one against the group average. Introduced in DeepSeekMath and used to train DeepSeek-R1, it became a standard recipe for training reasoning models on verifiable rewards like math and unit tests.

Top AI contributors on this

Key terms

Group baselineNo value networkVerifiable rewardPolicy gradientRollouts

Where you meet it in the real world

Training reasoning models, math and code post-training, open-weight R1 replications

Guides and articles