#01 · 14 min
GRPO, explained: reinforcement learning without a critic
Group Relative Policy Optimization samples several answers per prompt, scores them, and pushes the model towards the ones that beat the group average. No value network is needed, which saves a model's worth of memory and made large-scale RL on reasoning practical for DeepSeek.
Why you ·Your agent work at HivePro and Susanoo lives on tool-use and reasoning quality. GRPO is the cheapest credible way to RL-tune a small model on a verifiable task, such as a JanusGuard triage policy scored against labelled CIC-IDS2017 flows.
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