AI Glossary

What is GRPO?

Overview

GRPO, or Group Relative Policy Optimization, is a reinforcement-learning method that trains a model by comparing rewards across a group of sampled responses instead of relying on a separate value model. It matters because it can make reasoning-model post-training more memory-efficient while still encouraging responses that score better on verifiable tasks.

Why it matters

GRPO has become a practical post-training technique for improving reasoning behavior in language and multimodal models.

Where it appears in AI research

Reasoning model technical reports
Reinforcement learning post-training
Verifiable reward experiments
Open-weight model training recipes

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Overview

Why it matters

Where it appears in AI research

Related terms

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