A technical note on Reinforcement Learning with Verifiable Rewards (RLVR) and Group Relative Policy Optimization (GRPO), and how these methods are used to improve multi-step reasoning capabilities in language models.
Paper
The full text of this publication is not hosted on 44B due to licensing.
Read it at OpenAlex