Reinforcement Learning with Verifiable Rewards (RLVR) and GRPO for Reasoning
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.
Authors
- Dheiver Francisco Santos (ORCID: https://orcid.org/0000-0002-8599-9436)
Institutions
- Oldham Council (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-26
- DOI
- https://doi.org/10.5281/zenodo.21609979
- Primary Topic
- Reinforcement Learning in Robotics
- Type
- article
- Field-Weighted Citation Impact
- 0.00